Things people ask
The questions buyers ask before the first call. Anything else, ask us directly.
We ship code, not slides. Every engagement ends with a working system in your repo, an eval suite your team owns, and a runbook for the next person to pick it up. We measure ourselves on uptime, not deliverables.
We're model-agnostic by design. We benchmark across frontier and open models for each workload, route between them at runtime, and rebenchmark every quarter. Your contract is with us, not with a single provider.
All work happens in your cloud or a sandbox we stand up under your security review. We sign your DPA, run on your SSO, and write our evals against synthetic equivalents of your data so we can iterate without exposing it.
Two weeks of discovery, two to four weeks to a working prototype, then a production rollout once the eval bar is met. After that, most clients keep us on a retainer for tune-ups and new agents.
Yes, most of our engagements are alongside an internal team. We bring the agent patterns, the eval rigor and the platform plumbing; your team brings the domain depth. We document the handoff from day one.
Yes. Two of our agents grew into products: MarginTide for competitive pricing intelligence and Lumtry for policy-based refund automation. Each starts free and has a live demo you can open without an account. A third product, Notaray, an AI front door for service businesses, is in development, with early access opening.
Then we don't ship it. The eval suite is the gate, not a vibe check. About one in five prototypes gets retired, that's the system working as designed.
Have a workflow that deserves an agent?
A 30-minute fit call, then a two-week Discovery for $2,500 that ends in a fixed quote. Send a brief instead and we reply within one business day.