We design and engineer AI products, software, and edge systems — and stay on as they grow.
We don't separate strategy, design, and engineering. The same small team takes a project from sketch to production — and stays accountable for it after launch.
Production AI: RAG pipelines, multi-agent orchestration, evals, and the boring infra (queues, caches, observability) that makes it ship.
Web, mobile, and backend systems built like products — typed, tested, and instrumented from day one.
Interfaces designed alongside the engineering — fewer handoffs, faster cycles, more honest prototypes.
IoT, edge inference, and the cloud spine that ties them together — provisioned with code, monitored end-to-end.
We're stack-agnostic on principle, opinionated in practice. These are the tools we reach for first because we know how they fail.
We build with LLMs the same way we build with databases — typed inputs, evals, retries, observability. Not magic.
We don't ship and disappear. Most of what we make has been in production for a year or more — these are the ones we can talk about.
One small team from discovery through operations. Weekly demos. A kill-switch on every engagement after the first phase.
A short, paid scope: we read your code, talk to your users, and write the brief — together.
Honest prototypes — clickable, instrumented, runnable. We surface the hard problems first.
Small team, weekly demos, no theater. Code lands behind feature flags from day one.
We stay on as the system grows — observability, on-call, and quarterly system reviews.
We reply to everything within two business days — whether it ends in an engagement, a referral, or just an honest "not us, here's why."