We build the AI feature and ship it to production
AI Development is the build service. We take a scoped feature or product and turn it into software running in your environment, with evals, guardrails and a cost ceiling. Working code every week, not demos.
Everything you need.Shipped to production.
No notebooks. No demos as deliverables. Just software running in your environment, with evals, guardrails and a cost ceiling you agreed up front.
A documented model choice
Frontier vs open-weight per task, with the cost, latency and quality trade-off written down against your data. Not a vendor default you can't argue with.
Evals running in CI from day one
A labelled test set scored on every change. A prompt or model swap that regresses quality fails the build, before it reaches a user.
Prompts and config in version control
Prompts live in the repo, are diffable and reviewed in PRs, with the model version pinned. No silent changes in a console nobody can trace.
A cost ceiling enforced in code
Per-request and per-tenant budgets, model-tier routing, caching and alerts before you hit the number. Agreed up front, not discovered on the invoice.
Guardrails on the user-facing path
Schema-constrained outputs, PII handling, injection and jailbreak mitigation, sane refusals on out-of-scope asks. It survives real users, not just the happy path.
Software you own, with the metric
Code in your repo, a runbook, and a dashboard tracking the one number we agreed to move. A clean handover your team can run without us.
Five steps.To production, fast.
From a thirty-minute call to a deployed feature with an owned metric, broken into milestones you sign off on.
Thirty minutes with an engineer on the call. You describe the feature, the data you have, latency tolerance and budget shape. We tell you honestly whether this is a build, an integration, or something you don't need us for.
Architecture, model choice with the trade-off written down, the eval set and target metric defined together with you, cost ceiling, milestones and price in writing. The metric is agreed here, not retrofitted at the end.
Senior engineers ship to a real environment on a weekly cadence, with a demo every Friday against the eval set. Prompts and config in version control from the first commit; evals running in CI.
Once the core path works: injection and abuse handling, cost-ceiling enforcement, observability, load behaviour and edge cases. The thing holds up under real traffic.
Production deploy, dashboard live, tuned until the agreed number holds. Then a clean handover with runbook and docs, or we stay on for Support & Scale if you want it.
We're not for everyone.We’re for the teams ready to ship it.
If any of these sound familiar, we should talk.
Founder with a stuck prototype
A GPT or Claude demo that won't survive production
- Hallucinations on real data
- Unpredictable inference costs
- No way to tell if a change helped or hurt
Outcome: A prototype that becomes software you can ship and trust.
Product or engineering lead
Adding an AI feature to a real codebase
- No in-house LLM, RAG or agent depth
- Real users and a real quality bar to meet
- Don't want to hire a permanent AI team for one initiative
Outcome: The feature shipped to your standard, then handed back clean.
CTO burned by an AI agency
Paid for a POC that was a notebook
- No tests, prompts edited live in a console
- Costs nobody could explain
- A team that says yes to everything
Outcome: Production software you own, and honest answers when AI is wrong.
Senior engineers. No handovers. No fluff.
Start your deployment.
Talk directly to a principal engineer.
No sales team.
No discovery workshops.
No procurement circus.
We scope, build and ship.
- Reply within 24h
- Engineer-led assessment
- Written proposal
- Portugal / EU timezone
No commitment. Just an engineer.