I build software and put AI to work on real problems. Most projects combine a few of these — we scope the right mix together.
From blank repo to production.
End-to-end product engineering — web apps, APIs, dashboards, and the infrastructure underneath. One person who can take an idea from architecture to a deployed, maintainable system.
AI built around your problem, not the other way around.
Bespoke applications with AI at the core — copilots, document understanding, search and retrieval, and decision support tuned to your domain and data.
Delete the manual, repetitive work.
Agents and automated workflows that handle the tedious, error-prone tasks eating your team's time — triage, data entry, reporting, and multi-step processes that run themselves.
Add intelligence to what you already run.
Wire AI into your existing apps, data, and pipelines — without a rebuild. Clean interfaces, sensible guardrails, and observability so you can trust what ships.
Turn your data into decisions.
The models, analytics, and data plumbing behind good decisions — predictive models, pipelines, and dashboards that surface what actually matters.
A simple, transparent path from first conversation to shipped software.
We dig into the real problem, the constraints, and where AI actually moves the needle — no solution looking for a problem.
Architecture, data flow, and a sharp scope. You see exactly what we're building and why before a line of code ships.
Tight iterations with working software in front of you early. Evals and guardrails baked in, not bolted on.
Ship to production, measure, and improve. You own the code and the keys — no black boxes, no lock-in.
Tell me the problem. I'll help you figure out whether it's a build, an integration, or something simpler — and scope it honestly.