Who you are working with
Researchers who ship.
A small, senior team that builds AI systems and agent infrastructure. We hold the work to a research standard — reliability measured, models benchmarked — and ship to production. The people who scope your system write the code.
What we are
An engineering team for the hard part of AI.
Not a prompt shop. Not a demo factory. We do the systems design around modern models — how state is held, how tools are bounded, how the system degrades under failure. That is harness design, and it decides whether an AI system holds up after the demo. It is the part we lead with.
Our range runs from reliability hardening, through autonomous AI departments and the plugins and MCP servers we build, to multi-model routing, full-stack AI SaaS, and production RAG — over a research-grade ML edge.
- reliability hardening
- autonomous AI departments
- plugins & MCP servers
- multi-model routing
- full-stack AI SaaS
- production RAG
- research-grade ML edge
How we work
Research rigor, production discipline.
Measure before claiming
Reliability is a number, not a vibe.
Plan for the failure mode
The ones most teams meet only in production.
Prefer exact over approximate
The exact answer when the approximate one will not hold.
And we say no when no is right. If a tool you already own solves your problem, we will tell you. We would rather you understand the system than be impressed by it.
What we believe
The harness is the product, not the prompt.
- Anyone can ship a prompt and a demo.
- The systems design around it is where systems are won or lost.
- Reliability is a design decision, not a patch.
- A passing demo is not a finished feature.