One system, shipped to your production. AI inside the system, or AI behind the build. Production-grade from day one. We stay through deployment.
Deployed and running on real data. Not a demo, not a notebook.
Eval harness for the AI parts. Integration tests for the rest. You know when it's working and when it's drifting.
Alerts wired up. Incident response documented. When something breaks, everyone knows what to do.
A new engineer can pick this up six months from now and keep shipping.
One system ships in 6 to 12 weeks. A bigger build is a series of those: each phase goes live on its own, nothing waits for the end. We commit to a date on day one and we meet it.
We lock the deliverable, the timeline, and the price. The riskiest assumption gets a spike so we know it works before we commit to the full build.
Each slice goes to staging or production on its own. Eval and integration tests running from day one. You see real progress weekly, not just at the final demo.
Runbook signed off. Monitoring live. Docs handed to your team. We stay reachable for two weeks of post-launch support, no extra fee.
Spotify's content team ships hundreds of visual productions every month. They came for a wrapper around their AI tools. We rebuilt the pipeline instead, with AI inside every step and brand consistency enforced at generation time.
Medidesk runs patient-clinic communication for 1000+ medical facilities, already using AI inside the product. They wanted AI inside the company itself too. We brought in outside data and signals. Sales now spends time on ICP-fit customers ready to talk, not manual prospecting.
EBB Charge installs EV charging infrastructure across Sweden, scaling from 20 sites in 2024 to 100 in 2026. The field crew works in WhatsApp, not portals nobody opens. We built the AI right there: instant SOP answers in Swedish, morning check-ins, evening reports.
One system ships in 6 to 12 weeks. A bigger build is a series of those: each phase goes live on its own, nothing waits for the end. We commit to a date on day one and we meet it.
Fixed price per engagement, scoped after the first call. We send a clear proposal with scope, timeline, and price. No surprises mid-flight.
Yes. Production Builds work whether AI is the engine inside the system (assistant, agent, RAG, scoring) or the tool that lets us build automations and internal systems faster. The deliverable is the working system either way.
Two weeks of post-launch support, no extra fee. Then most clients move into AI Operations for ongoing eval, monitoring, cost governance, and continuous improvement. No obligation.
You do. Code, data, evals, documentation: everything is yours and runs in your infrastructure and your accounts, no proprietary platform underneath. The handover is built so your own team, or any engineer you hire, can take it from there.
Production Builds work when you have a specific outcome to ship and a decision-maker who can move fast. Book 30 minutes. Straight answer either way.
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