Production LLM agent systems for high-growth startups — the part that's hard after the demo works: evals, guardrails, cost, and reliability at scale.
What we build
Long-running work with retries, approval gates where a human signs off, and a trace you can actually read when it breaks at 2am.
Millions of documents, chunked on the structure the documents already have, with citations that resolve back to a source a domain expert will accept.
Agents that place the call, sit through the IVR and the hold queue, and handle the parts of a conversation that were never in the script.
The part most teams skip. We instrument what we build, so you know whether it works and what each request costs — before the invoice tells you.
How we work
Most teams we work with can already name the thing they should build. What they can't do is size it. Two days of eval work and two months of eval work are different products, and choosing wrong costs more than building slowly. So that's the first thing we tell you.
Selected work
Client names withheld under contract. Click a row for the detail.
Our own product
Cortana is an agent-native work platform we use every day. It's the one system where we can show you the whole stack: the data model, the surfaces, the agent, and the bill at the end of the month.