5 days
Agent Architecture Review
Are your agents on the right track? We review them and tell you.
- Review of your current agents
- Risks and gaps
- Fee credited to Discovery
We build AI agents you can verify.
We have built applied AI products since 2017. Now we build agents for data-heavy, regulated organisations.
Teams we've built for
Case study - A regulated insurer, from manual reconciliation to agents you can check
Filing data took weeks of manual reconciliation. Now agents build the pipelines, and every run is checked.
- To build a checked pipeline
- 3 days → 30 min
- Filing reconciliation
- 2-3 weeks → daily
- Versioned and auditable
- Every run
Talks - We share what we learn
Talks on agent reliability and architecture, at MLOps Community, AICamp and elsewhere.
Ways to start - Pick the step that fits
3 weeks, fixed fee
Discovery
One tech lead maps your domain and sets the architecture. Then you decide: build or stop.
- Domain map
- Eval baseline
- Build proposal
3 months minimum
Build
A tech lead and a principal engineer build with your team, then hand over.
- Agents in production
- Benchmarked before use
- Your team trained to run it
An agent repeats your data's mistakes, at machine speed.
Book a call. We'll find where that happens for you.