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You weren't charged."},"reviewed":{"title":"Reviewed by your team","description":"A member of your team made the final decision."},"document_type_mismatch":{"title":"Different kind of ID","description":"The ID in the photos isn't the kind the person chose."},"document_country_not_accepted":{"title":"Country not accepted","description":"The ID is from a country you don't accept, or its country couldn't be read."},"name_mismatch":{"title":"Name doesn't match","description":"The name on the ID isn't the one you expected, or it couldn't be read."},"date_of_birth_mismatch":{"title":"Birth date doesn't match","description":"The date of birth on the ID isn't the one you expected."}},"detail":{"metaTitle":"Verification","back":"All verifications","summary":"{tier} · created {date}","cancel":{"button":"Cancel","title":"Cancel this verification?","description":"The link stops working right away. 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They're deleted {days, plural, one {# day} other {# days}} after the verification ends.","front":"ID front","back":"ID back","selfie":"Selfie","deletedOn":"Only owners and admins see these. They'll be deleted on {date}."},"info":{"title":"Details","id":"ID","source":"Created from","sources":{"api":"API","dashboard":"Dashboard"},"created":"Created","started":"Started","submitted":"Submitted","decided":"Decided","reviewed":"Reviewed","expires":"Link expires","charged":"Charged","selfie":"Selfie","selfieSources":{"camera":"Camera only","upload":"Camera or photos"},"result":"Result on the link","resultShown":{"yes":"Shown to the person","no":"Not shown"},"rules":"Approval rules","documents":"Accepted IDs","anyCountry":"Any country","retention":"Photos kept","retentionDays":"{days, plural, one {# day} other {# days}} after it ends"},"redact":{"button":"Delete data","title":"Delete this person's data?","description":"Their photos, what was read from the ID, and your reference and metadata are deleted right away. The result and the checks stay as your record. 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From {min} to {max}."},"liveness_review":{"label":"Liveness review mark (%)","hint":"From here up to the pass mark goes to review; below it is rejected. From {min} to {max}, under the pass mark."},"face_match_pass":{"label":"Face match pass mark (%)","hint":"How alike the selfie and the ID's photo must be. Identity tier only. From {min} to {max}."},"face_match_review":{"label":"Face match review mark (%)","hint":"From here up to the pass mark goes to review; below it is rejected. From {min} to {max}, under the pass mark."},"age_buffer_years":{"label":"Age margin (years)","hint":"Age & Liveness: on a selfie alone, the person passes when they look at least the minimum age plus this many years. Closer than that goes to review. From {min} to {max}.","example":"For an {minimum}+ check: passes from looking {passAge}."}},"appliesTo":"New verifications use these settings. Ones already created keep the settings they were made with.","save":"Save","saved":"Verify settings saved.","readOnly":"Only owners and admins can change these settings.","errors":{"notAllowed":"Only owners and admins can change these settings.","invalidCustom":"Check the numbers: each must be within its range, and each review mark under its pass mark.","generic":"Something went wrong. Try again.","projectNotFound":"That project no longer exists.","invalidDocuments":"Choose at least one kind of ID to accept.","invalidCountries":"None of the IDs you chose can come from those countries. An INE is always from Mexico, and a US driver's license from the United States.","invalidBranding":"Check the name, the message and the color.","invalidRetention":"Use a whole number of days within the range."},"inherit":{"label":"Use the team default","hint":"Turn this off to give the project its own."},"documents":{"title":"Accepted IDs","description":"Which IDs a person may use on Identity verifications, and how many tries they get at photographing one.","types":{"label":"Kinds of ID","hint":"The person only sees the ones you accept. With just one, they aren't asked to choose."},"countries":{"label":"Issuing countries","any":"Any country","some":"Only these countries","hint":"An ID from any other country is rejected, unless you change that in the outcome rules. An INE only counts as Mexico, and a US driver's license as the United States.","search":"Search countries","none":"No countries chosen yet.","noMatch":"No country matches.","remove":"Remove {country}"},"attempts":{"label":"Tries at the ID photos","option":"{count, plural, one {# try} other {# tries}}","hint":"The ID is read as soon as its photos are in. If it's blurry, the wrong kind, expired or from a country you don't accept, the person is asked to try again, this many times in all. After the last try they send the photos they have."}},"rules":{"title":"Outcome rules","description":"What happens when a check finds a problem: reject the verification, send it to your team to review, or let it through.","groups":{"selfie":"Selfie","document":"ID","match":"Selfie against the ID","expected":"Expected data (API)"},"outcomes":{"reject":"Reject","review":"Send to review","ignore":"Ignore"},"outcomeDefault":"{outcome} (default)","always":"A failed liveness check, no face in the selfie, a face that isn't the one on the ID, and an age under the minimum always reject."},"branding":{"title":"Capture page","description":"How the page your link opens looks to the person being verified. 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One waiting for your review keeps its photos at least 7 days."},"redaction":"To delete one person's photos and data sooner, open their verification and choose Delete data, or call the redact endpoint. Results, and what was read from an ID, are kept until you do."}},"ExploreProductsPage":{"description":"Everything you can build with on Upsky, in one place.","open":"Open","products":{"hosting":"Deploy anything, from Next.js apps to WordPress sites, on managed infrastructure.","storage":"Private, secure storage for your team's files and your apps' data.","verify":"Check the age and identity of the people behind your accounts.","ai":"Reach every major AI model through a single API key."},"comingSoon":{"title":"More products coming soon","description":"We're building more tools for your team. New products will show up here as they launch."}},"DomainsPage":{"title":"Domains","description":"The domains {team} uses.","added":"Added {date}","emptyHeadline":"Start your next idea\nwith a domain name","searchLabel":"Search for a domain name","searchPlaceholder":"Search for a domain name","resultsLabel":"Search results","available":"Available","taken":"Taken","premium":"Premium","renews":"Renews at {price}","noResults":"We couldn't check that name. Try another one.","registrationSoon":"Prices in USD. Registration is coming soon.","guestPick":"Prices in USD. Pick a name to create your account.","guestChoose":"Sign up to get this domain","errors":{"invalidQuery":"Enter a valid domain name, using only letters, numbers and hyphens.","unavailable":"Domain search isn't available right now. Please try again later.","rateLimited":"Too many searches right now. Please try again in a moment.","searchLimitReached":"You've reached the search limit for this hour. Please try again later.","guestLimitReached":"You've reached the search limit for now. Sign up to keep searching."}},"SuperAdminSettingsPage":{"title":"Settings","description":"Platform-wide configuration for Upsky.","apiKeys":{"title":"API keys","description":"The credentials Upsky uses to serve every customer. They are stored encrypted and can't be viewed after saving.","setupRequired":"Key storage isn't ready. 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We pick up where you are rather than restarting for the sake of it.","weeks":"Weeks","note":"The weeks on each phase are a reference from past projects.","items":{"discovery":{"title":"Discovery","description":"We find out who this is for, what they do today instead, and what has to be true for the product to be worth building at all.","points":["Interviews with real users","Competitive and pricing teardown","A scope we would sign our name to"]},"design":{"title":"Product design","description":"Flows, screens, and a clickable prototype your team can put in front of users before a line of production code exists.","points":["Clickable prototype","Design system, not one-off screens","Usability tested before it is built"]},"mvp":{"title":"MVP build","description":"The smallest version that solves the problem end to end and can take real users, real money, and real load, built to be extended rather than thrown away.","points":["Two-week releases from the first one","Tests, CI, and monitoring from day one","Auth, billing, and admin included","Analytics wired before launch, not after"]},"scale":{"title":"Scale","description":"What happens after product-market fit: performance under load, the second and third feature line, and a codebase your own hires can walk into.","points":["Performance and cost work","Hardening, on-call, and incident runbooks","Hiring plan and onboarding for your team","Handover that does not depend on us"]}}},"signals":{"label":"Signals","title":"You probably need a product team when…","items":["You have a prototype that impresses in demos and falls over with twenty users.","Your roadmap is a list of features nobody has traced back to a user problem.","Every release is an event that needs a weekend and three people on standby.","The agency that built v1 is gone, and nobody left can explain the code.","You are hiring your first engineers and have nothing for them to walk into.","Design, backend, and frontend are three vendors who have never met."],"close":"If two of these are true, the next hire is not the bottleneck. The way the work is organised is."},"squad":{"label":"The squad","title":"Who actually shows up.","description":"These are the roles we work with. How a squad is put together depends on the project, so we size it with you rather than selling you a fixed shape. What does not change is that the people in the kickoff are the people doing the work, with no account manager relaying messages to people you never meet.","focusLabel":"Owns","roles":{"lead":{"title":"Product lead","focus":"Scope and priorities","description":"Owns scope and the tradeoffs that come with it. Runs discovery, writes down what we are building and why, and is the person you call when priorities change."},"designer":{"title":"Product designer","focus":"Interface and design","description":"Flows, interface, and the design system. Sits in user sessions rather than reading a summary of them, and stays on through build so decisions do not get lost in handoff."},"engineers":{"title":"Engineers","focus":"Frontend and backend","description":"Frontend, backend, and infrastructure, in whatever mix the project calls for. Senior enough to push back on a requirement that will cost you later."},"techLead":{"title":"Technical lead","focus":"Architecture and standards","description":"Architecture, code review, and the standards that keep the codebase hireable. The one who says no to the shortcut that saves a week and costs a quarter."}}},"cadence":{"label":"Cadence","title":"What a two-week cycle looks like.","description":"Same rhythm every cycle, from the first week to the last. It is deliberately boring, because predictability is what lets you plan anything around us.","deliverable":"Ends with","duration":"When","steps":{"plan":{"title":"Plan","description":"We agree on what ships in this cycle and, more usefully, what does not. Scope is cut here, in the open, not quietly on day nine.","deliverable":"A committed scope for two weeks","duration":"Day 1"},"build":{"title":"Build","description":"Design and engineering work in parallel against the same goal. Everything merges behind flags into a staging environment you can open any morning.","deliverable":"Working software on staging, daily","duration":"Days 2–8"},"test":{"title":"Test","description":"Automated suites, a manual pass on the flows that matter, and accessibility checks. Bugs found here are fixed before the demo, not logged for later.","deliverable":"A release candidate that passed","duration":"Day 9"},"demo":{"title":"Demo","description":"Forty-five minutes where we use the software in front of you. No slides. You click it yourself and tell us what is wrong while changing it is still cheap.","deliverable":"A version in your hands","duration":"Day 10"},"decide":{"title":"Decide","description":"We ship to production, look at what the last release actually changed in the numbers, and choose the next cycle from that rather than from the original plan.","deliverable":"A release in production and a decision","duration":"Day 10"}}},"deliverables":{"label":"What you get","title":"Everything, not just the running app.","description":"A product you cannot maintain without us is not finished. These come with the engagement, not as an upsell at the end of it.","items":{"designSystem":{"title":"A design system","description":"Components, tokens, and states in Figma and in code, so the tenth screen takes hours instead of days and looks like the first nine."},"testedCode":{"title":"Code with tests","description":"Coverage where it earns its keep: business rules, money, and permissions. Enough that a new engineer can change something without holding their breath."},"pipeline":{"title":"A deploy pipeline","description":"Push to deploy, with previews on every pull request and a rollback that takes one command and no heroics."},"analytics":{"title":"Analytics that answer","description":"Events defined around the decisions you will actually make, instrumented before launch, so week one tells you something."},"documentation":{"title":"Documentation","description":"Architecture, decisions and why they were made, environment setup, and runbooks for the things that break at 2am."},"handover":{"title":"A real handover","description":"Repositories, accounts, and domains in your name, plus the sessions to walk your team or your new hires through all of it."}}},"stack":{"label":"Stack","title":"What we build it with.","description":"Boring, well-documented technology your next hire already knows. We pick for the team that inherits this, not for our own curiosity.","groups":{"design":{"title":"Design","items":["Figma","Design tokens","Prototyping","User testing"]},"frontend":{"title":"Frontend","items":["Next.js","React","TypeScript","Tailwind"]},"backend":{"title":"Backend","items":["Node","Python","PostgreSQL","REST","tRPC"]},"mobile":{"title":"Mobile","items":["React Native","Swift","Expo"]},"infrastructure":{"title":"Infrastructure","items":["Vercel","AWS","Docker","GitHub Actions"]},"quality":{"title":"Quality","items":["Playwright","Vitest","Sentry","PostHog"]}}},"models":{"label":"How we engage","title":"Three ways to start.","description":"The difference is who sets the priorities and how far ahead they are fixed. All three have the same people and the same cadence.","bestFor":"Best for","includes":"Includes","items":{"mvp":{"title":"Fixed-scope MVP","description":"We agree the scope after discovery, quote it once, and deliver it. Changes are priced openly as we go, never absorbed silently and billed at the end.","bestFor":"Founders and new product lines that need a launch date they can plan a company around.","includes":["Discovery and a fixed quote","Design and build to launch","30 days of post-launch support","Full handover"]},"squad":{"title":"Dedicated squad","description":"A standing team on a monthly retainer, with the backlog set by you each cycle. The usual choice once a product has users and the roadmap outlives any one scope.","bestFor":"Companies with a live product and more roadmap than internal capacity.","includes":["A named, stable team","Two-week releases","Priorities you set each cycle","Monthly reporting on outcomes"]},"embedded":{"title":"Embedded with your team","description":"Our engineers and designers work inside your existing team, in your repositories and your rituals, usually to raise the floor rather than add headcount.","bestFor":"In-house teams that need senior depth or a practice they do not have yet.","includes":["Work inside your process","Code review and mentoring","Standards and tooling upgrades","A defined exit, agreed up front"]}}},"work":{"label":"Proof","title":"See what we have built.","description":"Products we run ourselves and systems we built for clients, with the decisions behind each one.","action":"Browse our work"},"faq":{"label":"Questions","title":"What founders and product leads ask us.","items":{"cost":{"question":"What does an MVP cost?","answer":"Most land between a well-paid senior hire for a year and twice that, which is the honest comparison since that is the alternative. We quote after discovery, fixed, and discovery is quoted separately so you can stop there with a scope and an architecture you own."},"ownership":{"question":"Who owns the code and the accounts?","answer":"You do, from the first commit. Repositories, cloud accounts, and domains are in your company's name, intellectual property transfers in the contract rather than as a favour at the end, and nothing we write is reused elsewhere."},"existingTeam":{"question":"We already have engineers. Does this still work?","answer":"Yes, and it is a common way to start. We either take a product line your team cannot get to, or work inside your repositories with your process. What does not work is two teams building the same thing without one person deciding priorities."},"design":{"question":"Can you work from designs we already have?","answer":"Yes. We will review them first and tell you where they will cause trouble in build, but we do not insist on redrawing work you have already paid for. If there are no designs at all, design is part of the engagement."},"afterLaunch":{"question":"What happens after launch?","answer":"Whatever you choose. Some clients keep the squad and keep shipping, some move to a smaller support arrangement, and some take it in-house, which is why the handover and the documentation exist. We do not build in a dependency to make leaving expensive."},"ideaStage":{"question":"We only have an idea. Is it too early?","answer":"Not for discovery, which is three weeks and ends with a scope, an architecture, and a number. It is too early for a build if nobody has spoken to a potential user yet, and in that case we will say so before taking the project."}}},"closing":{"title":"Tell us what you are trying to put in front of users.","description":"Send us a paragraph about the product and where it is stuck. We will come back with how we would approach it, what the first phase would take, and the parts we think are wrong.","detail":"The first conversation is free. If we are not the right fit, we will say so."}},"DataPage":{"metaTitle":"Data engineering and knowledge systems","metaDescription":"Pipelines, warehouses, and retrieval systems that turn scattered company information into answers your team can trust, with citations and permissions.","back":"All solutions","contact":"Talk to us","hero":{"eyebrow":"Data and knowledge systems","title":"Your company already knows the answer. It just cannot find it.","description":"The numbers are in the ERP, the terms are in a PDF nobody has opened since signing, and the rest lives in the heads of four people. We build the pipelines, the warehouse, and the retrieval layer that turn all of it into answers anyone can ask for in plain language, with the source attached.","secondary":"See what we build","flow":{"title":"From scattered sources to a cited answer","axis":"Sources → answer","stages":{"sources":{"title":"Sources","items":["ERP","CRM","Contracts","Email","Events"]},"pipeline":{"title":"Pipeline","items":["Ingest","Clean","Chunk","Embed"]},"index":{"title":"Index","items":["Vector","Keyword","Permissions"]}},"query":"What payment terms did we agree with our largest supplier?","answer":"Net 45 days, with a 2% discount for payment inside 10.","sourcesLabel":"Sources","citations":["contract-v3.pdf · §7.2","erp · supplier terms"]}},"promise":{"label":"How we deliver","firstAnswer":{"value":"6–8 weeks","label":"from scattered sources to a system your team can actually ask"},"grounded":{"value":"Every answer","label":"comes back with a citation you can open and check yourself"},"residency":{"value":"Your cloud","label":"your data stays in your accounts and your region, never in ours"},"languages":{"value":"ES · EN","label":"a senior team in your time zone, in both languages"}},"build":{"label":"What we build","title":"Four layers that turn records into answers.","description":"Most companies need two of these, not four. We start where the pain is and add the rest when it earns its place.","featured":"Where we usually start","items":{"platform":{"title":"Data platform","description":"The plumbing underneath everything else: your systems synced on a schedule, cleaned, modeled, and tested, so every number has one definition and one owner.","points":["Ingestion from ERP, CRM, files, and APIs","Transformations with tests that fail loudly","A modeled warehouse, not a dumping ground","Freshness and quality monitoring"]},"knowledge":{"title":"Knowledge and retrieval","description":"The layer that lets your team ask a question in plain language and get an answer drawn from your own documents, with the passage it came from.","points":["Document ingestion at scale, including scans","Chunking and embeddings tuned to your content","Answers with citations, or no answer at all","Every result filtered by who is asking"]},"analytics":{"title":"Analytics and reporting","description":"Metrics defined once, in one place, so finance and operations stop arriving at meetings with two different versions of the same number.","points":["A metrics layer everyone reads from","Dashboards built for decisions, not decoration","Self-serve questions without a ticket"]},"search":{"title":"Semantic search","description":"One search box across every system, that understands what people mean rather than matching the exact words they typed.","points":["Search across systems that do not talk to each other","Ranking tuned on the queries your team really makes","Filters that follow your own taxonomy"]}}},"architecture":{"label":"Architecture","title":"The shape every one of these projects takes.","description":"We adapt it to what you already run, but the five stages do not change. Each one has an owner, a test, and a way to see it break before your team does.","stages":{"sources":{"title":"Sources","description":"Everything your company already writes down, wherever it lives.","items":["ERP and CRM","Files and PDFs","Databases","APIs and events"]},"ingest":{"title":"Ingest","description":"Scheduled syncs that validate on the way in and record where each row came from.","items":["Scheduled syncs","Validation","Lineage"]},"store":{"title":"Store","description":"One warehouse for the numbers, one index for the text, one bucket for the originals.","items":["Warehouse","Object storage","Vector index"]},"retrieve":{"title":"Retrieve","description":"Hybrid search and re-ranking, with your permissions applied before anything is read.","items":["Hybrid search","Re-ranking","Access control"]},"serve":{"title":"Serve","description":"Wherever your team already works: a dashboard, an assistant, or an API.","items":["Dashboards","Assistants","APIs"]}}},"useCases":{"label":"Where it pays off","title":"The questions that cost someone a day of work today.","description":"Every one of these started as a person walking to another person's desk because no system could answer it.","items":{"support":{"title":"Customer support","description":"Agents answering from the current policy and the customer's actual history, instead of a wiki last edited two years ago."},"sales":{"title":"Sales and proposals","description":"Pricing, past quotes, and what was promised to a similar client, in the room, while the call is still happening."},"contracts":{"title":"Contracts and compliance","description":"Which agreements carry that clause, which renew this quarter, and what exactly you committed to in each one."},"operations":{"title":"Operations reporting","description":"How much shipped, what it cost, and where it stalled, without three people exporting spreadsheets first."},"onboarding":{"title":"Onboarding and training","description":"New hires asking the system the questions they would otherwise interrupt a senior colleague to ask."},"engineering":{"title":"Internal documentation","description":"Runbooks, decisions, and postmortems that are findable in the moment someone needs them."}}},"governance":{"label":"Governance","title":"The boring parts that decide whether anyone trusts it.","description":"A knowledge system loses the room the first time it confidently invents something or shows a salary to the wrong person. These are not add-ons at the end.","items":{"permissions":{"title":"Permissions follow the data","description":"Access is checked at retrieval, per user, against the rules your source systems already enforce. Nobody sees what they could not see before."},"privacy":{"title":"Privacy and PII","description":"Personal data is detected, masked, or excluded on the way in, and we document what is stored, where, and for how long."},"lineage":{"title":"Lineage you can trace","description":"Every number and every passage points back to the row, the file, and the run that produced it."},"quality":{"title":"Tests on the data itself","description":"Schema, freshness, volume, and business rules are checked on every run, and a failure stops the pipeline rather than quietly publishing."},"evaluation":{"title":"Evaluations, not impressions","description":"We build a question set from your real queries and score changes against it, so 'it feels better' becomes a number."},"cost":{"title":"Cost you can predict","description":"Storage, compute, and model spend are measured per workload, with limits set before the bill teaches you where they should have been."}}},"process":{"label":"How we work","title":"From a source inventory to a system in production.","description":"The first weeks are unglamorous on purpose. Most failed data projects were lost at the inventory stage, not the model.","deliverable":"Deliverable","duration":"Estimate","note":"The timings on each stage are a reference from past projects.","steps":{"inventory":{"title":"Source inventory","description":"We list every system, file share, and spreadsheet that matters, find who owns each one, and write down what is missing or wrong today.","deliverable":"A map of sources, owners, and gaps","duration":"1–2 weeks"},"pipelines":{"title":"Pipelines and modeling","description":"We get the data moving on a schedule, clean it, and model it so the same question asked twice returns the same answer.","deliverable":"Scheduled ingestion with tests","duration":"3–5 weeks"},"retrieval":{"title":"Retrieval and answers","description":"We build the index and the assistant over your own content, and put it in front of the people who asked for it.","deliverable":"A working assistant over your data","duration":"3–4 weeks"},"evaluation":{"title":"Evaluation","description":"We assemble a question set from real queries, measure accuracy and citation quality, and tune until the number holds.","deliverable":"An eval set and a quality baseline","duration":"1–2 weeks"},"operate":{"title":"Operate and extend","description":"We monitor freshness and cost, connect the next source, and hand your team the runbook for both.","deliverable":"Monitoring, runbooks, and a roadmap","duration":"Ongoing"}}},"stack":{"label":"Stack","title":"What we build it with.","description":"We use what you already pay for wherever it holds up. When there is no constraint, this is where we start.","groups":{"ingestion":{"title":"Ingestion","items":["Airbyte","Fivetran","Custom connectors","Webhooks"]},"warehouse":{"title":"Warehouse","items":["Postgres","BigQuery","Snowflake","DuckDB"]},"transformation":{"title":"Transformation","items":["dbt","SQL","Python","Great Expectations"]},"retrieval":{"title":"Retrieval","items":["pgvector","Qdrant","Elasticsearch","Hybrid search"]},"serving":{"title":"Serving","items":["Metabase","Next.js","APIs","Claude","OpenAI"]},"infrastructure":{"title":"Infrastructure","items":["AWS","GCP","Docker","Terraform","Airflow"]}}},"ownership":{"label":"Your data","title":"Your data never becomes our product.","description":"Everything runs in your accounts, under your contracts with your providers. We do not copy your data into our infrastructure, we do not train anything on it, and we do not keep a copy when the engagement ends.","points":["Pipelines and infrastructure in your cloud accounts","No training on your content, by us or by a provider","Data residency and retention agreed in writing","Full handover: code, runbooks, and access"]},"faq":{"label":"Questions","title":"What companies ask us first.","items":{"cost":{"question":"What does a project like this cost?","answer":"A source inventory and a working pilot over one domain usually lands between a quarter and a half of a full platform build. We quote the inventory separately and fixed, so you can stop after it with something useful in hand and no obligation to continue."},"time":{"question":"How long before anyone sees value?","answer":"Six to eight weeks to a system your team can query on one domain, such as contracts or support. Covering the whole company takes longer, and doing it all at once is the most common way these projects die."},"hallucinations":{"question":"How do we know it is not making things up?","answer":"Every answer carries the passage it came from, so a wrong answer is visible in one click rather than believed. We also measure it: a question set built from your real queries, scored on every change, with the number in front of you."},"messy":{"question":"Our data is a mess. Do we need to clean it first?","answer":"No, and waiting until it is clean is how companies spend three years not starting. The inventory tells us what is usable now, and cleaning happens inside the project, on the sources that turn out to matter."},"security":{"question":"Where does our data actually go?","answer":"Into your own cloud accounts, in the region you choose. Model providers see only what a query needs, under agreements that forbid training on it, and we can run open models inside your network when that is the requirement."},"existing":{"question":"We already have a warehouse. Is that wasted?","answer":"Usually not. Most of the time the warehouse is fine and the gap is everything after it: no retrieval layer, no permissions, no evaluation. We build on what is there and say so plainly when replacing something is genuinely cheaper than keeping it."}}},"closing":{"title":"Tell us the question nobody can answer before lunch.","description":"Send us one question your team asks often and no system answers well. We will come back with where that answer lives today, what it would take to make it one query, and whether it is worth building.","detail":"The first conversation is free. If your data is not ready yet, we will tell you that instead of selling you a pilot."}},"AiStrategyPage":{"metaTitle":"AI strategy and transformation consulting","metaDescription":"AI audits, opportunity analysis, and implementation roadmaps for companies that want to know where AI actually pays before they spend a peso on it.","back":"All solutions","contact":"Talk to us","hero":{"eyebrow":"AI strategy and transformation","title":"Find out where AI pays before you spend on it.","description":"Most AI budgets go to pilots that never reach production. We audit how your company works today, score every opportunity by payback instead of novelty, and hand you a roadmap with numbers attached, including the parts where the honest answer is not yet.","secondary":"See how the audit works","map":{"title":"Where the opportunities land","xAxis":"Effort →","yAxis":"Impact ↑","legend":"Each dot is one scored use case","quadrants":{"quickWins":"Quick wins","plan":"Plan properly","cheap":"Cheap to try","park":"Park"}}},"promise":{"label":"How we deliver","audit":{"value":"3–4 weeks","label":"from kickoff to a roadmap your board can read in one sitting"},"screened":{"value":"20–40","label":"use cases screened, scored, and ranked by payback, not by novelty"},"independent":{"value":"Zero","label":"referral fees from vendors, so the recommendation is just the recommendation"},"languages":{"value":"ES · EN","label":"a senior team in your time zone, in both languages"}},"services":{"label":"What we do","title":"Four ways in, depending on how far along you are.","description":"If you have never started, begin with the audit. If you have five stalled pilots, start with the roadmap. We will tell you which after one conversation.","featured":"Where most companies start","items":{"audit":{"title":"AI audit","description":"We sit with the people who do the work, map the processes as they actually happen, and measure what each one costs in hours and errors today. The baseline nobody has written down.","points":["Interviews across the functions that matter","Process maps with real volumes and cycle times","A cost baseline per process","Data and systems readiness, honestly graded"]},"roadmap":{"title":"Opportunity map and roadmap","description":"Every candidate use case scored on impact, effort, risk, and readiness, then sequenced into something your team can start on Monday and your CFO can approve.","points":["20–40 use cases scored on one scale","A business case for the top five","Build, buy, or wait, decided per case","A sequenced roadmap with owners and costs"]},"advisory":{"title":"Ongoing advisory","description":"A standing seat for the decisions that come after the roadmap: vendor choices, architecture reviews, and the ones that look strategic but are really about procurement.","points":["Monthly sessions with your leadership","Vendor and contract review","Architecture and security review"]},"enablement":{"title":"Team enablement","description":"Your people using these tools properly, with the policy and the guardrails that let them do it without your legal team finding out from a news article.","points":["Role-specific training, not a generic course","An acceptable use policy you can publish","Internal champions who keep it going"]}}},"maturity":{"label":"Maturity","title":"Five levels. Most companies sit one below where they think.","description":"This is the scale we grade against in the audit, and the one we use to argue about what is realistic next. Skipping a level is possible and expensive.","levelLabel":"Level","levels":{"adhoc":{"title":"Ad hoc","description":"People use AI tools privately, on personal accounts, with no policy and no visibility. Useful work is happening and none of it is measured or safe."},"assisted":{"title":"Assisted","description":"Licences are bought and training happened. Individuals are faster, the company is not, because nothing changed about how the work flows between them."},"integrated":{"title":"Integrated","description":"AI sits inside the systems people already use, on your data and your permissions. The gain shows up in a process metric rather than in anecdotes."},"automated":{"title":"Automated","description":"Whole steps run without a person in the middle, with humans reviewing exceptions instead of every case. Cycle times drop measurably."},"compounding":{"title":"Compounding","description":"New use cases ship in weeks because the data, the evaluations, and the platform already exist. Each one makes the next one cheaper."}}},"process":{"label":"How the audit works","title":"Four weeks, and you own everything at the end.","description":"Fixed scope, fixed price, and a deliverable that stands on its own. If you take it to another firm to execute, it will work just as well there.","deliverable":"Deliverable","duration":"Estimate","note":"The timings on each stage are a reference from past projects.","steps":{"interviews":{"title":"Interviews","description":"Two days with the people who do the work, not only the ones who describe it in meetings. We are looking for the workarounds nobody put in the process document.","deliverable":"Process maps as the work really happens","duration":"Week 1"},"inventory":{"title":"Systems and data review","description":"What you run, what it holds, what it connects to, and what condition the data is in. This is what decides whether a use case is six weeks or six months.","deliverable":"A systems map and a readiness grade","duration":"Week 1–2"},"scoring":{"title":"Opportunity scoring","description":"Every candidate scored on the same scale: hours saved, error cost, effort, risk, and readiness. One number, applied consistently, so the loudest department does not automatically win.","deliverable":"A scored and ranked opportunity map","duration":"Week 2–3"},"roadmap":{"title":"Business case and roadmap","description":"The top five written up properly, with costs, payback, and what has to be true for each. Sequenced so the early ones fund and de-risk the later ones.","deliverable":"Business cases and a sequenced roadmap","duration":"Week 3–4"},"handover":{"title":"Presentation and handover","description":"We present to your leadership, argue the contested cases in the room, and leave you the full working material, not a slide deck summary of it.","deliverable":"Board presentation and all working files","duration":"Week 4"}}},"deliverables":{"label":"What you receive","title":"Documents your team can act on without us.","description":"Written to be executed by whoever you choose, including an internal team or another firm. Nothing in them requires us to be in the room.","items":{"opportunityMap":{"title":"The opportunity map","description":"Every use case we screened, with its score, the assumptions behind it, and why the ones we rejected did not make the cut."},"businessCase":{"title":"Business cases","description":"The top five with costs, expected payback, and the sensitivity analysis, in the format your finance team already approves spending with."},"architecture":{"title":"Target architecture","description":"What has to exist for the roadmap to be possible: data, integrations, and platform, with what you already have marked clearly."},"governance":{"title":"Governance and policy","description":"An acceptable use policy, an approval path for new use cases, and the review points that keep this from becoming forty unmanaged pilots."},"roadmap":{"title":"The sequenced roadmap","description":"Quarter by quarter, with owners, dependencies, and the decision points where continuing should be re-argued rather than assumed."},"capability":{"title":"Capability plan","description":"Which skills to hire, which to train, and which to keep buying, with an honest view of what an internal team can realistically hold."}}},"useCases":{"label":"Where it pays off","title":"The functions where the numbers usually work.","description":"Not a promise about your company. This is where the payback has been clearest in the audits we have run, and where we look first.","items":{"support":{"title":"Customer support","description":"Drafted replies grounded in the current policy and the customer's history, with agents approving rather than composing from scratch."},"sales":{"title":"Sales operations","description":"Proposals and quotes assembled from past deals and current pricing, instead of the last similar document someone can find."},"finance":{"title":"Finance and admin","description":"Invoice and document processing, reconciliation, and the month-end work that consumes a team for a week every month."},"operations":{"title":"Operations","description":"Planning, exception handling, and the reporting that currently depends on one analyst and a spreadsheet nobody else can open."},"people":{"title":"People and hiring","description":"Screening, scheduling, and onboarding answers, with the parts that must stay human kept firmly human."},"legal":{"title":"Legal and compliance","description":"Contract review against your own playbook, clause extraction, and knowing which obligations you actually signed up to."}}},"honesty":{"label":"The honest part","title":"Half of this job is telling you what not to build.","description":"We make our money building systems, which is exactly why the audit is priced and delivered separately. If the honest answer for your company is a two-week automation and no AI at all, that is the answer you get, and you can take it to anyone.","points":["The audit is fixed-price and stands alone","No referral fees or reseller margins from any vendor","Rejected use cases are documented with the reasons","Everything is yours to execute with or without us"]},"faq":{"label":"Questions","title":"What leadership teams ask us.","items":{"cost":{"question":"What does the audit cost?","answer":"It is fixed-price and scoped to the number of functions you want covered, which is usually between three and six. It is a fraction of a single stalled pilot, and it is deliberately priced so that walking away afterwards is a reasonable decision rather than a sunk cost."},"time":{"question":"How much of our team's time does it take?","answer":"Around an hour each from twelve to twenty people, plus a half day from whoever owns the systems. We work around operations rather than asking them to stop, and we do not need a steering committee to run it."},"buyBuild":{"question":"Should we buy a tool or build something?","answer":"Usually buy, and we will say so even though building is what we sell. Buying wins when the process is standard and the vendor is credible. Building wins when the advantage is in your own data or the process is the thing that makes you different, and we make that case per use case rather than as a philosophy."},"dataReady":{"question":"Our data is not ready. Should we wait?","answer":"Do not wait, but do not start with the use case that needs the worst of it either. The audit grades readiness per opportunity, and there is almost always something valuable that runs on the data you already keep clean."},"jobs":{"question":"Is this about cutting headcount?","answer":"In most audits the strongest cases are about capacity, not headcount: the same team handling more, or stopping work that should never have been manual. Where a role genuinely changes, we say it plainly in the report, because finding out later is worse for everyone."},"whoBuilds":{"question":"Do we have to hire you to build it?","answer":"No, and the roadmap is written so you do not have to. Some clients execute internally, some go to another firm, and some ask us. We would rather be the obvious choice for the build than the only one you can use."}}},"closing":{"title":"Tell us where you think AI should help.","description":"Send us the process you have in mind. We will come back with whether it is a good first candidate, what would have to be true for it to work, and what we would look at before it.","detail":"The first conversation is free. If the honest answer is that you are not ready, that is what you will hear."}},"AiSystemsPage":{"metaTitle":"AI agents and intelligent systems","metaDescription":"AI agents that do real work: tool use, your own data, human approval where it matters, and an eval suite that proves it works before customers ever see it.","back":"All solutions","contact":"Talk to us","hero":{"eyebrow":"AI systems and agents","title":"A chatbot answers questions. An agent finishes the job.","description":"Most companies bought a chat window and discovered it could not actually do anything. We build systems that own a task end to end: read the request, look things up across your systems, decide, act, and stop for a person when the stakes are high. Running on the best frontier model for each step, and measured against cases from your own business long before it reaches a customer.","secondary":"See what we build","run":{"title":"Example run · refund request","legend":"4 tools, 1 human check","humanLabel":"Human","steps":{"read":{"tool":"inbox.read","text":"Reads the message and the order it points at"},"policy":{"tool":"policy.search","text":"Finds the clause in your refund policy that applies"},"order":{"tool":"orders.lookup","text":"Pulls the delivery record and the payment"},"approve":{"tool":"human.approve","text":"Above the limit you set, so a person signs off"},"act":{"tool":"refund.issue","text":"Issues the refund and drafts the reply"}},"stats":{"time":{"value":"9 s","label":"end to end"},"escalated":{"value":"1 in 40","label":"needs a person"},"logged":{"value":"Every step","label":"traced and replayable"}}}},"promise":{"label":"How we deliver","live":{"value":"6–10 weeks","label":"from the first conversation to an agent doing real work in production"},"hours":{"value":"15–30 h","label":"a week, per agent, once it handles the cases it was built for"},"evals":{"value":"Every release","label":"gated by an eval suite built from your own cases, so quality is a number and not a vibe"},"languages":{"value":"ES · EN","label":"a senior team in your time zone, in both languages"}},"signals":{"label":"Signals","title":"You need a system, not another subscription, when…","items":["You bought an AI tool, everyone tried it for a week, and nothing about the work actually changed.","The answers are good until someone asks about your pricing, your policy, or last Tuesday's order.","The useful part of the job lives in four systems and the chat window can see none of them.","A person still has to copy the model's answer somewhere before anything happens.","Nobody can tell you whether it is right more often this month than it was last month.","It works beautifully in the demo and nobody trusts it with a real customer."],"close":"Every one of these is the same gap: a model that can talk about the work, sitting outside the systems where the work happens."},"build":{"label":"What we build","title":"Four kinds of AI system, and most companies end up with two.","description":"They share a spine — your data, your tools, evaluated before release — and differ in who they serve and how much they are trusted to do on their own.","featured":"Where the money usually is","items":{"agents":{"title":"Autonomous agents","description":"Systems that own a task from start to finish. They plan, call your tools, handle the cases that do not fit the happy path, and escalate the ones that should never be automatic.","points":["Multi-step planning with real tool use","Writes to your systems, not just about them","Human approval on the steps you choose","Every run traced, costed, and replayable"]},"copilots":{"title":"Copilots for your team","description":"An assistant inside the tool your team already has open, that knows your accounts, your policies, and your history. It drafts, looks up, summarises, and prepares, and a person still presses send.","points":["Inside Slack, your CRM, your helpdesk, or your app","Grounded in your documents and records","Drafts and prepares, the human decides","Picks up the house style from your past work"]},"knowledge":{"title":"Knowledge systems","description":"Retrieval that actually retrieves. Your contracts, tickets, wikis, and PDFs turned into something a model can answer from, with citations back to the source so an answer can be checked.","points":["Search across every place knowledge hides","Answers with citations, not confident guesses","Each user's permissions respected"]},"features":{"title":"AI features in your product","description":"The intelligent part of the thing you sell: the assistant in your app, the automatic summary, the search that understands the question. Built to your latency, cost, and reliability budgets.","points":["Designed alongside your product team","Streaming, latency, and cost budgets","Ships behind flags with usage analytics"]}}},"useCases":{"label":"Custom agents","title":"Built for the work your team actually does.","description":"We do not sell one support bot and call it a platform. Each agent is scoped to a single job in your business, with the tools that job needs and the checks that job deserves.","items":{"sales":{"title":"Sales agent","description":"Researches the account before the call, drafts the proposal from deals that closed, and keeps the CRM honest without a rep ever touching a field."},"support":{"title":"Support agent","description":"Resolves the tickets that follow a policy, end to end, and hands over the ones that do not with the history already summarised."},"finance":{"title":"Finance agent","description":"Chases documents, matches invoices to purchase orders, flags what does not reconcile, and prepares the exceptions for a human to rule on."},"operations":{"title":"Operations agent","description":"Watches the queue, spots the order about to miss its date, and does something about it before anyone thinks to open a dashboard."},"research":{"title":"Research agent","description":"Reads the market, the filings, and the competitor changes that somebody used to work through in twelve tabs on a Friday afternoon."},"engineering":{"title":"Engineering agent","description":"Triages issues, reproduces the bug, opens the pull request for the boring class of fix, and leaves the interesting ones to your engineers."}}},"modelLayer":{"label":"The model layer","title":"The best model for each job, and a different one next quarter.","description":"Frontier models leapfrog each other every few months. We benchmark them on your cases, route each step to whichever one wins it, and keep the system loosely coupled so that swapping is a configuration change instead of a rewrite.","columns":{"step":"Step","model":"What it runs on","why":"Why"},"rows":{"reasoning":{"step":"Planning and hard judgment","model":"Top frontier model","why":"Where being wrong is expensive, we pay for the strongest reasoning available and do not economise."},"drafting":{"step":"Drafting and summarising","model":"Mid-tier frontier","why":"Indistinguishable in blind review for this kind of work, at a fraction of the cost per call."},"classification":{"step":"Classification and routing","model":"Small fast model","why":"High volume and a narrow job, where milliseconds and cents matter more than brilliance."},"extraction":{"step":"Extraction from documents","model":"Fine-tuned open model","why":"Once the format is stable, a trained small model beats prompting on accuracy and on price."},"private":{"step":"Anything that cannot leave","model":"Open weights, your servers","why":"Some data does not go to an API, so that step runs inside your own infrastructure."}},"note":"We are not a reseller for any model provider and we take no referral fees. This table gets rewritten whenever a new model beats the incumbent on your evals, which over the last two years has been every few months."},"surfaces":{"label":"Where it lives","title":"An agent nobody opens is an agent nobody uses.","description":"The system goes where the work already happens. No new tab to remember, no portal to log into, and no change management programme required to get somebody to try it.","items":{"chat":{"title":"Slack and Teams","description":"Mentioned in the channel where the work is already being discussed."},"email":{"title":"Email","description":"Reads what arrives and answers, drafts, or escalates from the same thread."},"crm":{"title":"Your CRM and helpdesk","description":"Inside HubSpot, Salesforce, Zendesk, or Intercom, as part of the record."},"product":{"title":"Your own product","description":"An assistant, a smarter search, or a sidebar shipped as a feature customers use."},"whatsapp":{"title":"WhatsApp and SMS","description":"Where a great deal of business in Latin America is actually conducted."},"browser":{"title":"The browser","description":"For the internal system from 2011 that has no API and is not going anywhere."},"voice":{"title":"Voice","description":"Calls answered, qualified, and summarised into the record before anyone picks up."},"api":{"title":"API and webhooks","description":"Called by your own services when the agent is one step inside something larger."}}},"standards":{"label":"Reliability","title":"What separates an agent you can trust from a demo that impressed everyone once.","description":"Anyone can get a good answer on the third attempt in a meeting. The engineering is in making the hundredth run as good as the first, and in knowing the moment it stops being.","items":{"evals":{"title":"Evals built from your cases","description":"A test suite of real examples with known right answers. Nothing ships unless it scores better than what it replaces, and the score is on a dashboard you can open."},"guardrails":{"title":"Guardrails and refusals","description":"What it must never do, say, or touch, enforced outside the prompt, because a prompt is a request and not a constraint."},"human":{"title":"Human in the loop by design","description":"You set the thresholds where a person signs off. Anything irreversible, anything above a limit, and anything going to a customer can stop for review."},"tracing":{"title":"Traces you can read","description":"Every run recorded with its steps, tool calls, inputs, and cost, so a wrong answer is something you can open and explain rather than argue about."},"permissions":{"title":"Data boundaries and permissions","description":"The agent sees what the person it acts for is allowed to see. Retention, residency, and what never leaves your network are decided up front."},"cost":{"title":"Cost and latency budgets","description":"Per-run cost ceilings, caching, and a smaller model wherever it wins, so the bill does not scale into a surprise."}}},"process":{"label":"How we work","title":"Prove it on your cases before anyone builds the pretty part.","description":"The failure mode in this field is a six-month build of something nobody measured. We front-load the measurement, so by week three you know whether it works.","deliverable":"Deliverable","duration":"Estimate","note":"The timings on this page are estimates drawn from past projects, not a quote. Yours depend on how many systems the agent has to touch, how clean the records are, and how fast decisions get made on your side.","steps":{"scope":{"title":"Scope one job","description":"We pick a single task with a clear owner, real volume, and a right answer we can agree on. Not a platform and not a strategy: one job that costs you hours every week.","deliverable":"A scoped job with a defined right answer","duration":"Week 1"},"evals":{"title":"Build the eval set","description":"We collect real cases from your history alongside the outcome a good employee would produce. This becomes the thing every version is graded against, and it is yours regardless of what happens next.","deliverable":"An eval set and a measured baseline","duration":"Week 1–2"},"prototype":{"title":"Prototype against it","description":"A working system wired to your real tools and scored on the eval set, with the model routing and the retrieval tuned until it clears the bar. This is where we find out a job needs a different approach, which is far cheaper to find out now.","deliverable":"A scored prototype and a go or no-go","duration":"Week 2–4"},"pilot":{"title":"Pilot beside your team","description":"It runs on live work with a person reviewing every case, so you see where it is wrong before it can cost anything. The review rate comes down only as the numbers earn it.","deliverable":"A live pilot with review metrics","duration":"Week 4–7"},"production":{"title":"Production and iteration","description":"Full deployment with monitoring, cost controls, and alerting. New cases keep joining the eval set, so the system gets measurably better instead of quietly drifting.","deliverable":"Production deployment, monitoring, and a tuning cadence","duration":"Week 7+"}}},"stack":{"label":"Tools","title":"What we build with.","description":"Model providers are interchangeable on purpose. Everything else is chosen because it is stable, inspectable, and something the next engineer to touch it will recognise.","groups":{"models":{"title":"Models","items":["Anthropic Claude","OpenAI","Google Gemini","Open-weight models","On-premise and local"]},"agents":{"title":"Agent frameworks","items":["Claude Agent SDK","Vercel AI SDK","LangGraph","Model Context Protocol","Custom orchestration"]},"retrieval":{"title":"Retrieval","items":["pgvector","Pinecone","Elasticsearch","Hybrid search","Rerankers"]},"evaluation":{"title":"Evaluation","items":["Braintrust","LangSmith","Custom eval harnesses","Human review tooling"]},"integration":{"title":"Integration","items":["Slack","WhatsApp Business","HubSpot","Salesforce","Zendesk","Webhooks"]},"infrastructure":{"title":"Where it runs","items":["Your cloud","AWS","Google Cloud","Vercel","Docker"]}}},"models":{"label":"Engagement","title":"Three ways in, depending on how sure you are.","bestFor":"Best for","includes":"Includes","description":"Same team and same standards in all three. The difference is how much you commit to before the numbers exist.","items":{"proof":{"title":"Proof of value","description":"One job, scoped and measured. Fixed price, a few weeks, and a number at the end that says whether to continue.","bestFor":"A first AI system, a board that wants evidence, or an idea that has been argued about for two quarters.","includes":["One job scoped with your team","An eval set built from your cases","A working prototype on your real tools","A go or no-go with the numbers behind it"]},"build":{"title":"Agent build","description":"The full system: production deployment, integrations, guardrails, monitoring, and the handover that lets your own team run it.","bestFor":"A proven case, or a job so obviously painful that nobody needs convincing.","includes":["Production system on your infrastructure","Integrations into the tools your team uses","Evals, tracing, and cost controls","Documentation and team training"]},"operate":{"title":"Run and improve","description":"We keep it working as the models change, the volumes grow, and the edge cases arrive: monitoring, retuning, and new capabilities on a cadence.","bestFor":"Systems already in production, where quality drifting quietly is the thing that would actually hurt.","includes":["Monitoring and incident response","Re-benchmarking as new models ship","An eval set that grows with real cases","A roadmap of new capabilities"]}}},"ownership":{"label":"No lock-in","title":"The system is yours, and so is the thing that proves it works.","description":"The code, the prompts, the retrieval index, the traces, and above all the eval set live in your accounts. That eval set is the real asset: it is what lets anyone, including a team that is not us, improve the system without guessing.","points":["Code, prompts, and configuration in your repositories","The eval set and every trace are yours to keep","No model vendor welded into the architecture","Documented well enough for another team to take over"]},"work":{"label":"Proof","title":"See what we have built.","description":"Products we run ourselves and systems we built for clients, with the decisions behind each one.","action":"Browse our work"},"faq":{"label":"Questions","title":"What companies ask us first.","items":{"chatbot":{"question":"How is this different from the chatbot we already have?","answer":"Your chatbot can read and write text. An agent can also look things up in your systems, take actions inside them, and know when to stop and ask a person. The difference shows up in whether anything changes without a human copying the answer somewhere."},"automation":{"question":"Is this the same as business automation?","answer":"They overlap, and the honest answer is that we would rather sell you the cheaper one. If a process is predictable and rule-shaped, automate it: faster to build, cheaper to run, and it never surprises you. Agents earn their cost where the input is messy or the step genuinely needs judgment, and most good systems are mostly automation with an agent in the two places that need one."},"models":{"question":"Should we train our own model instead?","answer":"Usually later, not first. Start on a frontier model to find out whether the job is doable at all, then train a smaller model for the high-volume steps once the format is stable and the cost is real. Doing it the other way round means paying to train something before anyone knows what good looks like."},"hallucinate":{"question":"What stops it from making things up?","answer":"Three things, in order: grounding it in your actual records so a right answer is available, evals that catch a regression before release, and a human checkpoint on anything irreversible. We will also tell you when a job is a bad fit because being confidently wrong on it is unacceptable, and no amount of engineering fixes that."},"data":{"question":"Does our data go to a model provider?","answer":"Only where you allow it, and never for training. We use enterprise terms that exclude training by default, and anything that cannot leave your network runs on open-weight models inside your own infrastructure. Which data sits in which category is decided with you in week one, in writing."},"cost":{"question":"What does it cost to run?","answer":"Per-run cost is designed in, not discovered later. We route cheap steps to small models, cache what repeats, and put a ceiling on per-run spend. For most systems the running cost lands far below the salary cost of the work it takes over, and we show you that number before you commit to anything."},"jobs":{"question":"What happens to the people doing this work today?","answer":"In the systems we have built, the pattern is that a team stops doing the tedious two thirds and starts handling the exceptions, which is the part that needed them anyway. Where a role genuinely changes we put it in the report, because it goes badly when people work it out before you tell them."},"wrong":{"question":"What happens when it gets something wrong?","answer":"It will, sometimes. The design question is never whether it is ever wrong but what happens when it is. A wrong answer inside a review step costs a click; a wrong answer inside an irreversible action costs a customer. We put the checkpoints where the second kind lives, and the traces let you see exactly what it did."}}},"closing":{"title":"Tell us the job you wish somebody else would do.","description":"Describe the task your team does most often and likes least. We will come back with whether an agent can own it, what it would have to be right about, and the cheapest way to find out for certain.","detail":"The first conversation is free. If the honest answer is that a script would do it, that is what you will hear."}},"ModelsPage":{"metaTitle":"LLM fine-tuning and model engineering","metaDescription":"We train and fine-tune models on your own data: open-weight models adapted to your domain, small task models, and the eval and serving stack behind them.","back":"All solutions","contact":"Talk to us","hero":{"eyebrow":"Models and AI engineering","title":"A general model knows everything except how your company works.","description":"It has read the internet and none of your tickets. We take an open-weight model, train it on the work your team has already done, and measure it against the one you pay per token for today. When ours wins, it runs in your own infrastructure, costs a fraction per request, and the weights are yours.","secondary":"See what we train","run":{"title":"Example run · ticket classification","axis":"Accuracy on tickets it never saw","baseLabel":"Base","baseItems":["Llama 3.1 8B","Qwen 2.5","Mistral"],"baselineLabel":"General model, prompted","stats":{"accuracy":{"value":"94.1%","label":"on held-out tickets"},"latency":{"value":"38 ms","label":"median response"},"where":{"value":"Your cloud","label":"where it runs"}}}},"promise":{"label":"How we deliver","baseline":{"value":"2 weeks","label":"to a measured baseline that says whether training is worth it at all"},"weights":{"value":"Your weights","label":"the trained model is yours, with nothing tying it to us or to a vendor"},"cost":{"value":"10–40×","label":"the usual drop in cost per request once a small model takes over a high-volume job"},"languages":{"value":"ES · EN","label":"a senior team in your time zone, in both languages"}},"build":{"label":"What we train","title":"Four kinds of model work, and most companies need one.","description":"We start from the task, not from the technique. Sometimes the honest answer is that you do not need a trained model at all, and we would rather say so before anyone signs anything.","featured":"Where we usually start","items":{"finetuning":{"title":"Fine-tuned open models","description":"We take an open-weight model, keep training it on the work your company has already done, and end up with one that answers and reasons the way your team does. It runs on your hardware and the weights are yours.","points":["Adaptation of Llama, Qwen, Mistral, and the rest","LoRA or full fine-tunes, whichever the job needs","Trained on your tickets, contracts, and past decisions","Benchmarked against the API model you use today"]},"taskModels":{"title":"Purpose-built task models","description":"Most of what companies ask a large model to do is one narrow job repeated a million times: sort this, pull that field, score this call. A small model trained for that one job is faster, cheaper, and far easier to defend in an audit.","points":["Classifiers for routing, triage, and tagging","Extractors that pull fields out of documents","Rankers and recommenders over your own catalog","Forecasting and anomaly detection on your history"]},"reinforcement":{"title":"Reinforcement learning and preference tuning","description":"When the right answer is a matter of judgment rather than a label, we train on the judgment itself: what your reviewers accepted, what they rewrote, and what they threw out.","points":["Reward models built from your reviewers' decisions","Preference tuning on real corrections, not synthetic pairs","Policies for agents that have to act, not just answer","Feedback loops that keep improving after launch"]},"infrastructure":{"title":"Evaluation and serving infrastructure","description":"The part that decides whether any of the above survives contact with production: a test set that catches regressions, a registry that says which version is live, and serving that holds up under your real traffic.","points":["Eval harnesses built from your own hard cases","Quantization and distillation to fit your budget","GPU or CPU serving, autoscaled or on-premise","Monitoring for drift, cost, and quality"]}}},"approach":{"label":"Before you train anything","title":"Training is the fourth thing to try, not the first.","description":"Every step down this list costs more than the one above it and takes longer to change your mind about. We work down it in order, and most engagements stop before the bottom.","effort":"Typical effort","worth":"Worth it when","skip":"Not enough when","note":"We charge for the evaluation that answers this question, and we charge for it separately, so hearing “you do not need to train anything” costs you two weeks instead of a project.","options":{"prompting":{"title":"Prompting a frontier model","effort":"Days","description":"A good prompt against Claude or GPT with your context pasted in. Cheap to try and cheap to abandon, which is exactly why it goes first.","worth":"The task is rare, varied, or changes every month.","skip":"You run it a million times a day and the invoice shows it."},"retrieval":{"title":"Retrieval over your own content","effort":"Weeks","description":"The model stays general and you hand it your documents at question time. Most “the model does not know our business” problems are really this problem.","worth":"The gap is knowledge the model never had.","skip":"The gap is behavior: format, tone, or judgment it keeps getting wrong."},"finetuning":{"title":"Fine-tuning an open model","effort":"1–2 months","description":"You teach the model how the work is done by showing it the work being done. This is where most of our model engagements land.","worth":"You have thousands of examples of the task done right.","skip":"Nobody can agree yet on what “done right” looks like."},"reinforcement":{"title":"Reinforcement learning","effort":"2–4 months","description":"You train on judgment instead of labels: what got accepted, what got corrected, and what got rejected outright.","worth":"Quality is a matter of preference and you have reviewers.","skip":"A plain label would have captured the same thing."},"pretraining":{"title":"Training from scratch","effort":"Rarely","description":"A model built from the ground up. For a handful of narrow, well-defined tasks this is genuinely the right answer. For anything resembling a chatbot, it almost never is.","worth":"The task is narrow, the data is yours, and nothing pretrained fits.","skip":"You want a chatbot. Adapt one instead."}}},"useCases":{"label":"Where it pays off","title":"The jobs that eat an afternoon, every afternoon.","description":"None of these need a model that can write poetry. They need one that is right about your work, fast, and cheap enough to run on everything that comes in.","items":{"routing":{"title":"Ticket and email routing","description":"Every message sorted by team, urgency, and language before a person opens it, trained on ten years of how your team actually sorted them."},"extraction":{"title":"Document extraction","description":"Invoices, delivery notes, and contracts turned into fields your systems can read, including the scanned ones and the note somebody wrote in the margin."},"quality":{"title":"Quality and defect detection","description":"A model trained on your own images or sensor history that flags the bad batch on the line instead of at the customer."},"forecasting":{"title":"Demand and risk forecasting","description":"Trained on your sales, your seasons, and your disruptions, rather than on a generic curve that has never seen your market."},"calls":{"title":"Call and conversation scoring","description":"Every call scored against the criteria your own supervisors use, so coaching covers all of them instead of the three someone had time to listen to."},"compliance":{"title":"Compliance and policy review","description":"A first pass over documents against your internal rules, with the clause it tripped on attached, so your reviewers start from a shortlist."}}},"standards":{"label":"How we engineer it","title":"What separates a demo from a model you can run a business on.","description":"A notebook that scored well once is not a deliverable. These are the things we build alongside the model, and together they are usually more work than the training itself.","items":{"evals":{"title":"Evaluation first","description":"We write the test set before we train anything. If we cannot measure the task, we cannot tell you whether we improved it."},"reproducible":{"title":"Reproducible runs","description":"Every run is pinned: data version, code version, seed, and hardware. A result nobody can reproduce is a rumor."},"lineage":{"title":"Data lineage and consent","description":"We record where every training example came from and what you are allowed to do with it, before it ever reaches a GPU."},"registry":{"title":"Versioning and rollback","description":"Models are versioned like code. You can see which one answered a given request, and go back to the previous one in minutes."},"budgets":{"title":"Cost and latency budgets","description":"A target for price per request and response time is set at the start. A model that misses it is not finished, however good the accuracy looks."},"monitoring":{"title":"Drift monitoring","description":"Your business changes and the model quietly stops being right about it. We watch for that and tell you when it is time to retrain."}}},"process":{"label":"How we work","title":"From “could a model do this?” to one in production.","description":"The first phase exists to talk you out of it. It is cheaper for both of us to find out in two weeks that a task is not learnable than in four months.","deliverable":"Deliverable","duration":"Estimate","note":"The timings on each stage are a reference from past projects.","steps":{"feasibility":{"title":"Feasibility and baseline","description":"We define the task precisely, build the test set, and measure what an off-the-shelf model already scores on it. That number is what everything afterwards has to beat.","deliverable":"A test set, a baseline score, and a recommendation","duration":"2 weeks"},"data":{"title":"Data curation","description":"We assemble the training set out of work your team has already done, clean it, label what needs labeling, and hold back the hard cases for the exam.","deliverable":"A versioned training and evaluation set","duration":"2–4 weeks"},"training":{"title":"Training","description":"We run the experiments, compare sizes and techniques, and stop at the smallest model that clears the bar you set.","deliverable":"Trained weights and the runs that produced them","duration":"3–6 weeks"},"evaluation":{"title":"Evaluation and review","description":"We score it against the baseline and put its worst outputs in front of the people who do the job today, because a benchmark never catches everything.","deliverable":"An evaluation report and a go or no-go","duration":"1–2 weeks"},"deployment":{"title":"Deployment","description":"We serve it inside your infrastructure behind an API your systems can call, with a fallback for the cases where it is not sure.","deliverable":"A served model with monitoring and runbooks","duration":"2–3 weeks"},"operate":{"title":"Retraining and operation","description":"New examples pile up, quality drifts, and the model gets retrained on a schedule your team can run without us in the room.","deliverable":"A retraining pipeline and the handover","duration":"Ongoing"}}},"stack":{"label":"Stack","title":"What we train and serve with.","description":"We use what you already pay for wherever it holds up. When there is no constraint, this is where we start.","groups":{"baseModels":{"title":"Base models","items":["Llama","Qwen","Mistral","Gemma","DeBERTa"]},"training":{"title":"Training","items":["PyTorch","Hugging Face","LoRA / PEFT","TRL","Axolotl","Unsloth"]},"classical":{"title":"Classical ML","items":["scikit-learn","XGBoost","LightGBM","Prophet"]},"evaluation":{"title":"Evaluation","items":["Custom harnesses","Weights & Biases","MLflow","Ragas"]},"serving":{"title":"Serving","items":["vLLM","TGI","ONNX Runtime","Triton","llama.cpp"]},"infrastructure":{"title":"Infrastructure","items":["AWS","GCP","Modal","Docker","Terraform","Kubernetes"]}}},"engagements":{"label":"How we engage","title":"Three ways in, depending on how sure you are.","description":"Most companies start at the top and decide after it, with a number in hand instead of a hunch.","bestFor":"Best for","includes":"Includes","items":{"feasibility":{"title":"Feasibility study","description":"Two to three weeks, fixed price, to answer one question: can a model do this well enough to be worth building, and what would it cost to run?","bestFor":"Teams with a task in mind and no idea whether it is learnable.","includes":["A precisely defined task and a test set","A baseline from off-the-shelf models","A cost and latency projection","A written recommendation, including “do not build this”"]},"build":{"title":"Model build","description":"End to end: data, training, evaluation, and a served model your systems can call, with your team in the room for all of it.","bestFor":"A task that cleared feasibility and has a budget behind it.","includes":["Data curation and labeling","Training and experiment tracking","Evaluation against your baseline","Deployment inside your infrastructure","Weights, code, and runbooks handed over"]},"operate":{"title":"Model operations","description":"A monthly retainer for the part nobody plans for: the model is live, the world moved, and something needs retraining.","bestFor":"Teams running models in production without an ML engineer on staff.","includes":["Scheduled retraining and evaluation","Drift and cost monitoring","Serving upgrades as base models improve","An engineer who knows your models on call"]}}},"ownership":{"label":"Your model","title":"You own the weights, not a license to them.","description":"Everything we train runs in your accounts, on base models whose licenses let you keep what comes out. When the engagement ends you hold the weights, the training data, and the code that produced both, and you have no technical reason to call us again.","points":["Training and serving in your own cloud accounts","Open-weight base models with licenses that permit commercial use","Your data never trains anything outside your project","Full handover: weights, datasets, pipelines, and runbooks"]},"faq":{"label":"Questions","title":"What companies ask us first.","items":{"need":{"question":"How do we know whether we even need a custom model?","answer":"Often you do not, and the feasibility study is how we prove it either way. If a prompt and your own documents get you to 90% of the value, that is the answer we will give you, and it costs two weeks to find out instead of a project."},"data":{"question":"How much data do we need?","answer":"For a classifier or an extractor, a few hundred good examples is often enough to beat a general model. For fine-tuning a language model to reason the way your team does, a few thousand. Quality matters far more than count, and “we have ten years of tickets” is usually a better starting point than people expect."},"messy":{"question":"What if our data is a mess?","answer":"It is. Everyone's is. Cleaning and labeling is a real phase with real weeks attached, which is why it sits on the plan above instead of hiding inside the training step. The one thing we cannot fix is data that never recorded the thing you want to predict."},"cost":{"question":"What does this cost, and what does it cost to run?","answer":"A feasibility study is fixed price and a small fraction of a build. A full build depends on the task, and training is rarely the expensive part: data and evaluation usually are. Running it is the easier number, because a small task model on your own hardware is generally much cheaper per request than an API call, and we project that for you before you commit."},"frontier":{"question":"Why not just use Claude or GPT for everything?","answer":"For plenty of things you should, and we build those systems too. Training earns its place when volume makes per-token pricing hurt, when latency matters, when the data cannot leave your building, or when the task is narrow enough that a small model beats a large one at it. If none of those apply, we will point you at an API and save you the project."},"hardware":{"question":"Do we need to buy GPUs?","answer":"For training, no. We rent them for the weeks we need them and pass the cost through. For serving it depends on the model: plenty of task models run fine on CPUs you already have, and the ones that need a GPU usually need less of one than people assume."}}},"closing":{"title":"Tell us the job your team does a thousand times a month.","description":"Describe one repetitive judgment call somebody on your team makes all day. We will tell you whether a model could learn it, what it would take to find out properly, and what it would cost to run once it works.","detail":"The first conversation is free. If a prompt would solve it, we will tell you that instead of selling you a training run."}},"BusinessAutomationPage":{"metaTitle":"Business process automation services","metaDescription":"We automate quotes, invoices, onboarding, and reporting, and connect the systems you already pay for. 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Routed for approval"},"act":{"label":"Act","title":"Invoice issued, team notified, records updated"}}}},"promise":{"label":"How we deliver","live":{"value":"2–4 weeks","label":"from the first call to your first automation running in production"},"hours":{"value":"10–25 h","label":"of manual work a mid-sized team tends to get back every week"},"owned":{"value":"Self-hosted","label":"on your infrastructure, with no per-task bill and no vendor holding the process"},"languages":{"value":"ES · EN","label":"a senior team in your time zone, in both languages"}},"signals":{"label":"Signals","title":"You are ready to automate when…","items":["Someone opens the same five tabs every morning and moves the same data between them.","A customer waits two days for a quote that took eleven minutes of actual work.","Every system holds its own version of the truth, and reconciling them is somebody's job.","Month-end takes a week, and it takes a week because of copying, not because of thinking.","You hired someone to keep up with volume, and most of what they do is data entry.","Things fall through the cracks and nobody notices until the client does."],"close":"If two of these are true, the manual work already costs more every quarter than automating it would cost once."},"savings":{"label":"The math","title":"The work does not look expensive until you add it up.","description":"A task that takes twelve minutes and happens forty times a week is a full-time job you never posted. This is roughly what those tasks look like before and after, in the processes we are asked about most.","columns":{"process":"Process","manual":"By hand","automated":"Automated","saved":"Back to the team"},"rows":{"quotes":{"process":"Preparing quotes and proposals","manual":"6 h / week","automated":"25 min / week","saved":"5.5 h"},"invoices":{"process":"Processing supplier invoices","manual":"9 h / week","automated":"1 h / week","saved":"8 h"},"onboarding":{"process":"Onboarding a new client","manual":"4 h / client","automated":"20 min / client","saved":"3.7 h"},"reporting":{"process":"Building the weekly report","manual":"5 h / week","automated":"Sends itself","saved":"5 h"},"leads":{"process":"Routing leads and updating the CRM","manual":"7 h / week","automated":"30 min / week","saved":"6.5 h"}},"total":{"label":"Roughly, for a team of ten","value":"≈ 28 h / week"},"note":"Illustrative figures from processes we have automated, not a forecast for your company. The first thing we do is measure yours, because a process that turns out to cost two hours a month is one we will tell you not to automate."},"services":{"label":"What we do","title":"Four kinds of work, one outcome: nobody touches it again.","description":"Most projects start with a single painful process and grow from there. You do not have to automate the whole company to get the first win.","featured":"Where most companies start","items":{"workflows":{"title":"Workflow automation","description":"The end-to-end processes that cross three systems and two people. We build them on n8n, self-hosted on your own infrastructure, so every step is visible and editable instead of buried inside somebody's SaaS account.","points":["Triggers from forms, email, webhooks, or a schedule","Branching, approvals, and retries built in","Self-hosted n8n on your infrastructure","Every run logged and replayable"]},"documents":{"title":"Document and data processing","description":"Invoices, purchase orders, contracts, and PDFs that arrive as attachments and leave as rows in your system. AI extraction where the format keeps changing, plain rules where it does not.","points":["Invoice and receipt capture","Contract and form extraction","Validation against your own records","Exceptions routed to a person, not guessed"]},"integrations":{"title":"Integrations and APIs","description":"The connector that does not exist yet, between the ERP nobody wants to touch and the tool your team actually uses. 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They are what we are asked about most, and each one is small enough that the first is usually running within a month.","departments":{"sales":{"title":"Sales and CRM","items":["Leads from the website, WhatsApp, and ads landing in the CRM, deduplicated and assigned","Quotes generated from current pricing and sent for signature","Follow-ups that fire when a deal goes quiet, with the context attached","Proposals drafted from the last five that actually closed"]},"finance":{"title":"Finance and billing","items":["Supplier invoices read, matched to the purchase order, and queued for payment","Recurring invoicing and payment reminders that stop the moment the client pays","Expense receipts captured from a photo and coded to the right account","Daily reconciliation between the bank and your accounting system"]},"operations":{"title":"Operations","items":["Orders pushed from the store to the warehouse and back as tracking numbers","Stock thresholds that raise a purchase order before you run out","Scheduling and route assignment built from the day's open tickets","Alerts when something has been sitting at the same step for too long"]},"support":{"title":"Customer service","items":["Incoming messages classified, tagged, and routed to the right person","Replies drafted from your policies and that customer's history","Status updates sent to the customer without anyone remembering to","Escalations opened automatically when a promised date slips"]},"people":{"title":"People and hiring","items":["Applications screened against the role and scheduled without email tennis","Onboarding that creates the accounts, access, and equipment requests","Contracts and documents chased until the file is complete","Time-off requests routed, approved, and reflected in the calendar"]},"marketing":{"title":"Marketing and reporting","items":["Campaign numbers pulled from every platform into one weekly report","Content published across channels from a single approved source","Dashboards that refresh themselves instead of being rebuilt on Monday","Attribution stitched back to the deals that actually closed"]}}},"process":{"label":"How we work","title":"First automation live in a month, not a transformation programme.","description":"We do not open with a platform decision or a six-month discovery. We start with the process that hurts most, put it into production, and let it pay for the next one.","deliverable":"Deliverable","duration":"Estimate","note":"The timings and hours on this page are estimates drawn from past projects, not a quote. Yours depend on how many systems are involved, how clean the data is, and how quickly approvals move on your side.","steps":{"map":{"title":"Process mapping","description":"We sit with the people doing the work and time it: how often, how long, how many systems, and where it breaks. Half the value shows up here, because most processes carry a step nobody can justify anymore.","deliverable":"A timed map of the process as it really runs","duration":"Week 1"},"pick":{"title":"Scoring and the first pick","description":"Every candidate scored on hours, error cost, effort, and risk. We deliberately pick a boring first one: high volume, low ambiguity, and visible to whoever signs off on the budget.","deliverable":"A ranked shortlist and the first workflow scoped","duration":"Week 1"},"build":{"title":"Build and connect","description":"The workflow built on n8n in your own environment and wired into the systems that hold the data, with retries, error paths, and the approval steps where a human has to stay in the loop.","deliverable":"A working workflow in a staging environment","duration":"Week 2–3"},"run":{"title":"Run it in parallel","description":"We run the automation alongside the manual process for a week and compare every case. Nothing gets switched off until it has handled the awkward ones correctly.","deliverable":"A comparison report and the sign-off to cut over","duration":"Week 3–4"},"extend":{"title":"Hand over and extend","description":"Your team gets the documentation, the credentials, and a working session on editing the workflow themselves. Then we take the next process off the list.","deliverable":"Documentation, access, and the next candidate scoped","duration":"Ongoing"}}},"standards":{"label":"When it breaks","title":"Automation earns trust by failing well.","description":"Most automations are not abandoned because they stop working. They are abandoned because they stop working quietly. Everything we build is designed to be loud about failure and boring to fix.","items":{"retries":{"title":"Retries and backoff","description":"APIs go down and rate limits happen. A failed step waits and tries again instead of dropping the record on the floor."},"alerts":{"title":"Alerts to a named person","description":"When something cannot be resolved automatically, a specific person hears about it in the channel they already read, with the record attached."},"logs":{"title":"A full audit trail","description":"Every run is logged with its input, its output, and the decisions in between, so you can answer what happened to that order six weeks later."},"approvals":{"title":"Approval where it matters","description":"Anything above a threshold, anything going to a customer, and anything irreversible stops for a human. You decide where those lines sit."},"secrets":{"title":"Credentials and access","description":"Keys live in a vault, not inside a workflow, and each integration gets the narrowest permissions that still let it do its job."},"documentation":{"title":"Documentation and handover","description":"Each workflow ships with a written explanation of what it does, what it touches, and how to turn it off in a hurry."}}},"stack":{"label":"Tools","title":"n8n at the centre, and whatever your company already runs.","description":"We are not resellers and nobody pays us to recommend a platform. n8n is our default because it self-hosts, it has no per-task pricing, and the workflows are files you own. If you already run Make or Power Automate and it fits, we will build inside it.","groups":{"automation":{"title":"Automation platforms","items":["n8n (self-hosted)","n8n Cloud","Make","Zapier","Power Automate","Temporal"]},"ai":{"title":"AI in the workflow","items":["OpenAI","Anthropic","Document OCR","Vector search","Custom agents"]},"business":{"title":"Business systems","items":["HubSpot","Salesforce","SAP","Odoo","QuickBooks","Shopify"]},"communication":{"title":"Communication","items":["Slack","WhatsApp Business","Gmail and Outlook","Teams","Twilio"]},"data":{"title":"Data and storage","items":["PostgreSQL","Google Sheets","Airtable","BigQuery","S3 and Drive"]},"infrastructure":{"title":"Where it runs","items":["Your own servers","Docker","AWS","Google Cloud","Azure"]}}},"models":{"label":"Engagement","title":"Three ways to start.","description":"Same team and same standards in all three. The difference is how much you commit to before you have seen it work.","bestFor":"Best for","includes":"Includes","items":{"sprint":{"title":"Automation sprint","description":"One process, a fixed price, and a workflow running in production at the end of it. 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The workflows are files in your repository, running on your servers, against your credentials. There is no per-task meter, no vendor sitting on your process, and no export you have to ask permission for.","points":["Self-hosted on your infrastructure, under your accounts","Workflows exported as files you keep and can version","No per-task pricing that punishes you for growing","Documented well enough for another team to take over"]},"work":{"label":"Proof","title":"See what we have built.","description":"Products we run ourselves and systems we built for clients, with the decisions behind each one.","action":"Browse our work"},"faq":{"label":"Questions","title":"What operations teams ask us.","items":{"cost":{"question":"What does this cost?","answer":"A first sprint is fixed-price, and for most single processes it lands somewhere between one and three months of what that process costs you in salary today. We quote after the mapping week, so you approve a number instead of an hourly rate. If the process turns out to be worth less than the build, we say so before quoting."},"payback":{"question":"How fast does it pay for itself?","answer":"The ones we pick first usually pay back in three to six months, which is exactly why we pick them first. The way to get there is to automate something high-volume and unambiguous before anything clever, and to measure the hours beforehand so the payback is a number rather than a feeling."},"n8n":{"question":"Why n8n and not Zapier or Make?","answer":"Zapier and Make are excellent until your volume makes them expensive or your process needs a step they do not have. n8n self-hosts, has no per-task bill, and lets us write real code inside a step, so a workflow can grow past the toy stage. If you already run Make and it fits your volume, we will build inside it and tell you to keep it."},"breaks":{"question":"What happens when something breaks?","answer":"It will, usually because a system you depend on changed something without telling anyone. Every workflow has retries, an error path, and an alert to a named person with the failed record attached, so it becomes a ten-minute fix instead of a silent gap you find in the month-end numbers."},"jobs":{"question":"Does this mean cutting staff?","answer":"In nearly every project we run, the gain is capacity: the same team handling more, or stopping work that should never have been manual. Where a role genuinely changes, we say it plainly in the report, because people notice these things before the announcement and it goes badly when they are right."},"messy":{"question":"Our processes are a mess. Should we fix them first?","answer":"No, but expect the mapping week to fix some of them. Automating a broken process only makes it break faster, so part of the work is deleting the steps that exist because of a system you replaced in 2019. That cleanup often pays for itself before a single workflow is built."},"maintain":{"question":"Can our own team maintain them?","answer":"That is the intent. n8n is visual, the workflows are documented, and we run a working session at handover. Most clients end up editing the simple parts themselves and calling us for the integrations. We would rather be optional and still chosen."},"ai":{"question":"Do we need AI for this?","answer":"Usually not, and we will say so even though we build AI systems. Most of the hours in a company go to moving structured data between systems, which rules handle more cheaply and more predictably than a model. AI earns its place where the input is messy or the step needs judgment, and we use it there."}}},"closing":{"title":"Tell us which process you hate most.","description":"Send us the one your team complains about. We will come back with whether it is a good first candidate, roughly what it costs you today, and what it would take to make it run on its own.","detail":"The first conversation is free. If the honest answer is that a better spreadsheet would fix it, that is what you will hear."}},"ProductsPage":{"metaTitle":"Our software products and client projects","metaDescription":"The software UpskyAI builds, plus a selection of products and platforms we designed and shipped for other companies, with the detail behind each project.","contact":"Talk to us","hero":{"eyebrow":"Products","title":"Software we design, build, and take to production.","description":"We build our own products and create software for other companies with the same team and the same engineering standard.","secondary":"See selected work","build":{"stages":{"build":"Build","test":"Test","deploy":"Deploy"},"status":{"writing":"Writing code","running":"Running checks","live":"Live in production"}}},"index":{"label":"Index","title":"Find a product or project.","description":"Search by name, client, category, or technology, and narrow the list by type or year.","searchLabel":"Search products and projects","searchPlaceholder":"Name, client, or technology","clearSearch":"Clear search","typeLabel":"Filter by type","yearLabel":"Filter by year","allYears":"All years","kinds":{"all":"All","product":"Products","client":"Client work"},"type":{"product":"Product","client":"Client"},"inHouse":"In-house","columns":{"name":"Name","client":"Client","stack":"Stack","type":"Type","year":"Year"},"results":"{count, plural, =0 {No results} one {# result} other {# results}}","empty":"Nothing matches your search.","emptyHint":"Try another term or clear the filters.","clear":"Clear filters"},"software":{"label":"Our software","title":"Our own products, built around artificial intelligence.","available":"Available","view":"View product","viewAbout":"View {name}","visit":"Visit site","visitAbout":"Visit the {name} site (opens in a new tab)"},"work":{"label":"Selected work","title":"Software we designed and built for other companies.","description":"Products and platforms we built end to end for our clients, from the brief to production.","credit":"Designed and built by Upsky","client":"For {client}","view":"View project"},"closing":{"title":"Have a product in mind?","description":"We build custom software with the same care we put into our own products.","detail":"Tell us what you want to launch and we will help you define the scope, the team, and the path to production."}},"CompanyPage":{"metaTitle":"A software and AI lab based in Mexico","metaDescription":"UpskyAI is a software and artificial intelligence lab in San Luis Potosí, Mexico, building its own products, systems for companies, and applied research.","contact":"Talk to us","hero":{"eyebrow":"Company","title":"A lab where AI becomes software people use.","description":"UpskyAI is a software and artificial intelligence lab in Mexico. 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We stay close to what we ship while it runs in production."}},"team":{"label":"Team","title":"The people behind the lab.","description":"We work across research, engineering, and product, from the first experiment to software in production.","profile":"{name} on {network}","email":"Email {name}","links":{"linkedin":"LinkedIn","x":"X","github":"GitHub","website":"Website","email":"Email"},"members":{"danielHernandez":{"role":"CEO · Software engineer"}},"join":{"title":"Want to work with us?","description":"We are always glad to meet researchers, engineers, and designers. Tell us about yourself.","action":"Write to us"}},"glance":{"label":"At a glance","title":"Based in Mexico, working in Spanish and English.","location":{"label":"Based in","value":"Mexico"},"languages":{"label":"Languages","value":"Spanish and English"},"areas":{"label":"Areas","value":"Products, solutions, and research"},"social":{"label":"Follow us"}},"closing":{"title":"Build with us.","description":"Whether you are a company that wants to put AI to work, or a researcher or engineer who wants to build what comes next, we want to hear from you.","detail":"Write to us about a project, a collaboration, or the work you would like to do with us."}},"ProjectPage":{"metaTitle":{"product":"{name} — Our software","client":"{name} — Client project"},"back":{"product":"Our software","client":"Selected work"},"credit":{"product":"Product designed and built by Upsky","client":"Designed and built by Upsky for {client}"},"visit":{"product":"Visit product","client":"Visit project"},"cta":{"product":"Request a demo","client":"Build a similar project"},"newTab":"(opens in a new tab)","next":{"product":"Next product","client":"Next project"},"sections":{"product":{"story":"The problem","briefing":"Who it's for","solution":"How it works"},"client":{"story":"The story","briefing":"The brief","solution":"The solution"}},"facts":{"title":{"product":"Product details","client":"Project details"},"status":"Status","available":"Available","client":"Client","year":{"product":"Launch","client":"Year"},"category":"Category","duration":"Build time","durationValue":"{weeks, plural, one {# week} other {# weeks}}","team":"Team","technologies":"Technologies","link":{"product":"Product site","client":"Project site"}},"roles":{"productDesign":"Product design","uxDesign":"UX/UI design","frontend":"Frontend engineering","backend":"Backend engineering","ai":"AI engineering","mobile":"Mobile development","data":"Data engineering","ecommerce":"Shopify development"},"gallery":{"label":"{name} gallery","expand":"Expand image: {alt}","show":"Show image {index} of {total}: {alt}","counter":"{index} / {total}","previous":"Previous image","next":"Next image","close":"Close gallery"},"closing":{"title":{"product":"Bring {name} to your company.","client":"Let's build something like {name}."},"description":{"product":"We show you {name} with a real case from your operation and help your team get it running.","client":"If {name} looks like what you need, tell us your idea. We design and build the complete product, from the brief to production."},"detail":"We start with a conversation about your operation, your users, and what you want to achieve.","subject":{"product":"{name} demo","client":"Project similar to {name}"}}},"Projects":{"joyerosApp":{"category":"Jewelry management","summary":"Inventory, point of sale, live gold price and an online store for jewelry businesses.","story":"A jewelry business has to track every piece by metal, karat and weight, sell at the counter and online, and keep up with a gold price that changes every day.","briefing":"Jewelry stores, chains with several branches, online sellers, pawn shops, gold buyers, wholesalers and artisan workshops.","solution":"JoyerosApp keeps inventory by weight and karat, sells at the counter with a barcode scanner, values your metal at the live gold price and publishes an online store.","features":["Inventory by weight and karat","Point of sale with barcode scanner","Live gold price valuation","Online store and AI product photos"],"gallery":["JoyerosApp: one platform for your entire jewelry business","JoyerosApp: inventory with metal, karat, weight and price per piece","JoyerosApp: point of sale with discounts and split payments","JoyerosApp: live gold price next to the recorded purchase cost","JoyerosApp: online store with the jewelry catalog","JoyerosApp: AI product photos generated from a single piece photo"]},"upskyDesk":{"category":"AI customer support","summary":"A support inbox that answers, sorts, and escalates conversations with AI.","story":"Support teams lose hours answering the same questions across different channels, while important cases wait in line.","briefing":"Companies with high message volume that want to respond faster without growing their team at the same pace.","solution":"Upsky Desk brings your channels into one inbox, answers with AI from your knowledge base, and hands off to a person when it detects a sensitive case.","features":["Unified inbox","AI replies","Human handoff","Support metrics"],"gallery":["Upsky Desk: sample dashboard","Upsky Desk: sample detail view","Upsky Desk: sample mobile view"]},"upskyLedger":{"category":"Finance automation","summary":"Captures invoices and expenses with AI and reconciles them against your accounts.","story":"Typing invoices by hand and reconciling expenses at month end takes days of the finance team's time and leads to errors.","briefing":"Finance and accounting teams at small and midsize companies.","solution":"Upsky Ledger reads invoices and receipts, extracts the data with AI, categorizes it, and proposes the reconciliation so your team only reviews and approves.","features":["AI invoice reading","Automatic reconciliation","Approval flows","Monthly reports"],"gallery":["Upsky Ledger: sample dashboard","Upsky Ledger: sample detail view","Upsky Ledger: sample mobile view"]},"finansis":{"category":"Education","summary":"School management system for 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Downloads are always free.","noteNoOverage":"Downloads are always free.","needsPro":"Paid sizes need Upsky AI Pro.","ownOverage":"Extra requests: {writes} per million writes, {reads} per million reads"},"detail":{"usage":"This month","connection":"Connection","connectionDescription":"Point any S3 client at this bucket with these values and one of its access keys.","tabs":{"overview":"Overview","settings":"Settings"},"docs":"Docs","keysHint":"Sign requests with one of this bucket's access keys.","keysHintPlain":"Sign requests with one of this bucket's access keys."},"reactivate":{"button":"Reactivate","title":"Reactivate {name}?","resume":"It keeps working and renews on {date} for {price} a month, as before. Nothing is charged now.","repay":"We'll charge {price} now, from your credits first and then your card, and a new month starts today. Its files and access keys come back as they were.","submit":"Reactivate","submitAndPay":"Reactivate and pay","notNow":"Not now"},"deleteNow":{"button":"Delete instantly","title":"Delete {name} now?","description":"Its access keys stop working right away and every file in it is deleted. This can't be undone, and the rest of the month you've paid for isn't refunded.","keep":"Keep it","submit":"Delete instantly"},"project":{"label":"Project","noneInProject":"No buckets in this project yet."},"settings":{"projectDescription":"Group the bucket with one of your team's projects.","noProject":"This bucket isn't in a project.","planTitle":"Plan","planDescription":"What this bucket holds and includes each month.","size":"Size","price":"Price","included":"Included each month","includedValue":"{writes} writes and {reads} reads","billing":"Billing","created":"Created","bucketId":"Bucket ID","dangerTitle":"Danger zone","dangerDescription":"Cancelling or deleting affects every app that uses this bucket."}},"VerifyDocumentTypes":{"mx_ine":"INE (Mexican voter ID)","passport":"Passport","us_drivers_license":"US driver's license","id_card":"Other national ID card"},"TeamWebhooksPage":{"title":"Webhooks","description":"Get a request on your server when something happens, like a verification being approved.","create":{"button":"Add endpoint","title":"Add a webhook endpoint","description":"Upsky sends a signed POST to this URL for each event you pick.","urlLabel":"Endpoint URL","urlHint":"Must be HTTPS and reachable from the internet.","descriptionLabel":"Description","descriptionPlaceholder":"Production server","modeLabel":"Mode","modeHint":{"test":"Receives events from test keys and test verifications.","live":"Receives events from live keys and live verifications."},"eventsLabel":"Events","projectsLabel":"Projects","projectsHint":"Only send events from the projects you pick. Pick none to get events from every project.","submit":"Add endpoint"},"created":{"title":"Endpoint added","description":"Use this secret to check that requests come from Upsky. You can show it again from the list.","done":"Done"},"secretLabel":"Signing secret","secretTitle":"Signing secret","secretDescription":"Check each request's webhook-signature header with this secret, using any Standard Webhooks library.","modes":{"test":"Test","live":"Live"},"paused":"Paused","allEvents":"All events","deletedProject":"Deleted project","createdOn":"Added {date}","delivery":{"pending":"Retrying","delivered":"Delivered","failed":"Failed"},"noDeliveries":"Nothing sent yet.","reveal":"Show signing secret","pause":"Pause","resume":"Resume","delete":"Delete","deleteConfirm":"Delete this endpoint? Events stop being sent to it.","errors":{"notAllowed":"Only owners and admins can manage webhooks.","invalidUrl":"Use a public HTTPS URL.","tooMany":"You can have up to 10 endpoints per mode.","unavailable":"Webhooks aren't available right now.","generic":"Something went wrong. Try again."},"emptyTitle":"No endpoints yet","emptyDescription":"Add an endpoint to hear about verifications as soon as they're decided.","emptyDescriptionMember":"An owner or admin of your team can add one.","signing":"Requests follow the Standard Webhooks format: check the webhook-id, webhook-timestamp and webhook-signature headers. Failed deliveries are retried for up to two days."},"Capture":{"product":"Verify","metaTitle":"Verify your identity","footer":"Secured by Verify","privacyLink":"Privacy","back":"Back","stepOf":"{step} of {total}","test":{"badge":"Test","notice":"This is a test verification. Nothing is checked for real.","outcomeLabel":"Test result","outcomes":{"approved":"Approved","rejected":"Rejected","needs_review":"Needs review"}},"intro":{"title":"{team} wants to verify your identity","description":"It takes about two minutes. Have good light and a steady hand.","needId":"A photo of your official ID, front and back","needSelfie":"A selfie, to check it's really you","privacy":"Your photos are only used for this check for {team}, and are deleted {days, plural, one {# day} other {# days}} after it ends.","consentAge":"I agree to Upsky processing my face to verify my age for {team}, as described in the privacy notice.","consent":"I agree to Upsky processing my face and ID to verify my identity for {team}, as described in the privacy notice.","start":"Start","expires":"This link works until {date}."},"handoff":{"title":"Continue on your phone","qr":"QR code to open this page on a phone","description":"Scan with your phone's camera. Phones take much clearer photos of IDs.","here":"Continue on this device"},"document":{"title":"Which ID will you use?","description":"It must be valid and show your photo.","bothSides":"Front and back","photoPage":"Photo page"},"photo":{"frontTitle":"Front of your ID","backTitle":"Back of your ID","passportTitle":"Your passport's photo page","tips":"Lay it flat, fill the frame, and avoid glare.","tipsFor":"Use your {document}. Lay it flat, fill the frame, and avoid glare."},"selfie":{"title":"Take a selfie","description":"Look straight at the camera, with your face inside the oval.","liveDescription":"Follow the prompts on screen to show it's really you.","notCompleted":"The check didn't finish. Find good light, fill the oval with your face, and try again.","stopped":"The check stopped before it finished.","attemptsLeft":"{count, plural, one {# try left} other {# tries left}}","noAttempts":"Every try for this link has been used. Ask {team} for a new link.","retry":"Try again","retrySuggested":"Let's try that once more. Make sure your screen brightness is all the way up.","continue":"Continue","noMoreAttempts":"That was the last try for this link. You can send the one you have.","prepare":{"title":"Before you start","brightness":"Turn your screen brightness all the way up. The check lights your face with colors from the screen.","light":"Find even light on your face: not too dark, and no bright window or sun behind you or shining straight at you.","position":"Hold your phone upright at eye level, take off a hat or sunglasses, and keep still.","ready":"Continue"},"feedback":{"face_not_visible":"Keep your whole face in view of the camera.","face_obstructed":"Take off anything covering your face, like a hat, mask or sunglasses.","face_not_aligned":"Keep your face centered in the oval until the check ends.","eyes_closed":"Keep your eyes open and look at the screen.","low_lighting":"It was too dark. Move somewhere brighter, or face a lamp or a window.","high_lighting":"It was too bright. Move away from direct sunlight or a bright window, and turn your screen brightness all the way up.","low_video_quality":"The video wasn't clear. Wipe the camera lens and hold the phone still."}},"review":{"title":"Ready to send","description":"Your photos go to {team} for verification.","front":"Front","back":"Back","selfie":"Selfie","retake":"Retake","captured":"Captured","submit":"Send","sending":"Sending…"},"done":{"title":"You're done","description":"We've received your photos. {team} will let you know the result.","continue":"Back to {team}"},"camera":{"preview":"The photo you took","documentHint":"Fit your ID inside the frame","faceHint":"Fit your face inside the oval","noCamera":"The camera isn't available. Upload a photo instead.","starting":"Starting the camera…","retake":"Retake","use":"Use photo","uploading":"Uploading…","take":"Take photo","uploadInstead":"Upload a photo instead","upload":"Take or upload a photo","cameraRequired":"Your selfie has to be taken with the camera. Allow camera access in your browser and try again, or open this link on your phone.","tryAgain":"Try again"},"errors":{"generic":"Something went wrong. Try again.","internal_error":"Something went wrong on our side. Try again.","too_large":"That photo is too large. Try again.","not_an_image":"That file isn't a photo. Use a JPEG or PNG.","storage_unavailable":"Photos can't be saved right now. Try again in a few minutes.","not_started":"Start again from the beginning.","missing_files":"A photo is missing. Take it again.","missing_document_type":"Choose which ID you're using.","consent_required":"Agree to the notice to continue.","not_in_progress":"This verification has already been sent.","not_found":"This link isn't valid.","too_many_attempts":"Every try for this link has been used. Ask for a new link.","busy":"A check is already starting. Try again in a moment.","document_not_accepted":"That kind of ID isn't accepted here. Choose another."},"messages":{"continue":"Continue","invalid":{"title":"This link isn't valid","description":"Check you opened the whole link, or ask for a new one."},"expired":{"title":"This link has expired","description":"Ask whoever sent it for a new one."},"canceled":{"title":"This verification was canceled","description":"Ask whoever sent it if you still need to verify."},"submitted":{"title":"Verification sent","description":"Your photos were received. You can close this page."}},"liveness":{"hintMoveFaceFrontOfCameraText":"Move your face in front of the camera","hintTooManyFacesText":"Make sure only one face is in view","hintFaceDetectedText":"Face found","hintCanNotIdentifyText":"Move your face in front of the camera","hintTooCloseText":"Move back","hintTooFarText":"Move closer","hintConnectingText":"Connecting…","hintVerifyingText":"Checking…","hintCheckCompleteText":"Check complete","hintIlluminationTooBrightText":"Move somewhere less bright","hintIlluminationTooDarkText":"Move somewhere brighter","hintIlluminationNormalText":"Lighting is good","hintHoldFaceForFreshnessText":"Hold still","hintCenterFaceText":"Center your face","hintCenterFaceInstructionText":"Hold your phone at eye level and center your face. When the oval appears, move closer until your face fills it, then hold still for a few seconds.","hintFaceOffCenterText":"Your face isn't in the oval. Center it on the camera.","hintMatchIndicatorText":"Halfway there. Keep moving closer.","cameraMinSpecificationsHeadingText":"This camera isn't good enough","cameraMinSpecificationsMessageText":"The camera needs at least 320×240 resolution and 15 frames per second.","cameraNotFoundHeadingText":"The camera isn't available","cameraNotFoundMessageText":"Check that no other app is using the camera and that this browser may use it, then try again.","retryCameraPermissionsText":"Try again","waitingCameraPermissionText":"Allow the camera to continue.","a11yVideoLabelText":"Camera for the liveness check","goodFitCaptionText":"Good fit","goodFitAltText":"A face filling the oval","tooFarCaptionText":"Too far","tooFarAltText":"A face too small for the oval","photosensitivityWarningHeadingText":"Photosensitivity warning","photosensitivityWarningBodyText":"This check flashes different colors. Take care if you're sensitive to flashing light.","photosensitivityWarningInfoText":"Some people may have seizures when exposed to flashing colored light. Take care if you or anyone in your family has epilepsy.","photosensitivityWarningLabelText":"About photosensitivity","startScreenBeginCheckText":"Start the check","recordingIndicatorText":"Rec","cancelLivenessCheckText":"Cancel the check","errorLabelText":"Error","connectionTimeoutHeaderText":"The connection timed out","connectionTimeoutMessageText":"Check your connection and try again.","timeoutHeaderText":"Out of time","timeoutMessageText":"Your face didn't fill the oval in time. Try again and move closer until it does.","faceDistanceHeaderText":"You moved too soon","faceDistanceMessageText":"Don't move closer while it's connecting.","multipleFacesHeaderText":"More than one face","multipleFacesMessageText":"Make sure only your face is in view.","clientHeaderText":"Something went wrong","clientMessageText":"The check couldn't run on this device.","serverHeaderText":"Something went wrong","serverMessageText":"The check couldn't be completed on our side.","landscapeHeaderText":"Turn your phone upright","landscapeMessageText":"Hold your phone vertically.","portraitMessageText":"Keep your phone vertical for the whole check.","tryAgainText":"Try again"},"result":{"checking":{"title":"Checking your verification…","description":"This usually takes a few seconds. Keep this page open."},"slow":{"title":"Still checking","description":"This is taking longer than usual. {team} will let you know the result."},"approved":{"title":"You're verified","description":"Your verification passed. {team} has been told."},"rejected":{"title":"We couldn't verify you","description":"Your verification didn't pass. If you think that's a mistake, contact {team}."},"needs_review":{"title":"We're taking a closer look","description":"{team} will review your verification and let you know."}},"check":{"checking":"Checking your ID…","title":"Let's take those photos again","description":"We looked at your ID as soon as the photos were in, and something needs fixing before you send it.","lastTry":"That was the last try for this link. You can send the photos you have, and {team} will take a look.","problems":{"unreadable":"We couldn't read your ID clearly. Lay it flat in good light, fill the frame, and avoid glare.","wrong_type":"This doesn't look like the ID you chose: {document}. Check that you're using the right one.","expired":"This ID has expired. Use one that's still valid.","country_not_accepted":"IDs from this country aren't accepted for this verification. Use a different ID."},"retake":"Take the photos again","otherDocument":"Use a different ID","attemptsLeft":"{count, plural, one {# try left} other {# tries left}}","continue":"Continue"}}},"now":"$undefined","timeZone":"UTC","children":"$L7f"}]