Building
Systems that run against your real records and keep working once people depend on them daily.
A demo has to work once. A system has to work on the Monday after a schema change, when the source API is rate limiting and the person who understood the edge case is on leave. We build for the second case: retrieval grounded in your own records, evaluation sets written from real failures, and the operational surface — logs, traces, cost per run — visible from day one.
Every build ships with an evaluation harness. Before we change a prompt, a retrieval strategy, or a model, we can tell you whether the change made things better and by how much. Without that, tuning an AI system is guessing with extra steps.
What you get
- Working system in your infrastructure, in your cloud account
- Evaluation suite with graded cases drawn from real inputs
- Tracing and cost instrumentation from the first deploy
- Runbook covering failure modes, escalation, and rollback
- Handover sessions until your team can change it without us
Call us when
- A pilot needs to become something the business can rely on
- Staff are copying between systems because nothing connects them
- An assistant answers plausibly but nobody can prove it answers correctly
Talk to us about building
Describe the situation in a paragraph. We will reply with what we would look at first and what it would cost to find out.