AI agents that work on governed data, in production
We build assistants and agents on top of data you already trust, so they answer consistently and act within clear limits. Evaluation, guardrails and monitoring are part of the first release, not a later phase.
What we do
- Assistants grounded in your semantic layer, catalogue and documents
- Tool-using workflow agents connected to your systems through APIs and MCP
- Built on Databricks Mosaic AI, Azure AI Foundry or open frameworks, depending on your stack
- Evaluation sets, guardrails and audit trails defined before go-live
- Cost and latency you can forecast, with monitoring in production
- Delivered where people work: Slack, Teams or your own product
Who it's for
Operations and commercial teams
Automate multi-step, document-heavy or analysis-heavy work with agents that use the same governed data as your reports.
Product teams
Add AI features to your product with the engineering discipline of a production release, not a demo.
Start small, with a clear scope
Fixed fee · 2 weeks
Use-case validation
We test one use case against your real data and tell you honestly whether it is ready for an agent.
Milestone-based
Production agent
One agent designed, evaluated, secured and released, with monitoring and a handover to your team.
Monthly
Run and improve
Ongoing evaluation, prompt and retrieval tuning, and cost control once the agent is live.
Tell us what you're trying to do
A 30-minute call with a practitioner. You'll get an honest view on fit, timeline and cost.