Multiple clients
Custom AI development for startups and enterprise workflows
Agentic automation embedded into operations or shipped as product features, with the stack chosen to fit the client's existing platform.
- 2 weeks
- iteration loop, kickoff to real users
- LangChain, Pydantic AI, FastAPI, Next.js, AWS / Azure
- stack
Problem
- Startups and enterprises needed agentic automation embedded into operations or shipped as new product features, with working agents in front of real users within weeks.
- They also needed the flexibility to reshape workflows as live usage revealed where the real friction was.
Approach
- Two-week iteration loops shaped by direct client and end-user feedback, with end-to-end ownership including custom UIs in React/Next.js and FastAPI where appropriate.
- Stack chosen per client to fit their existing platform: LangChain, Pydantic AI, or vanilla; LiteLLM for multi-provider routing and quotas; AWS or Azure for model hosting.
Outcome
- Production agents and bespoke UIs live across multiple startup and enterprise engagements.
- Typically in front of real users within weeks of kickoff.
Have a system that needs to work in production?
Tell us what you are building, or what has stopped working. Thirty minutes, no pitch deck.