AI agents & automation
Most AI projects stall between the demo and the day-to-day. We build the unglamorous half: retrieval that returns the right document, tool calls that touch real records safely, human review where it matters, and evaluation so you know when a change made things worse.
Agents live inside your existing systems and processes, not beside them in a separate chat window nobody opens twice.
Typically includes
- Multi-agent orchestration
- Retrieval over your own data
- Tool & API integrations
- Human-in-the-loop review
- Evals & monitoring
- Cost & latency budgets