Production AI, which you can trust.
Better, cheaper and safer agents. Fully compliant. Zero lockin.
Agents never leave the pilot!
Before a regulated enterprise can ship AI, someone has to answer for its performance, its compliance, its decisions, and its cost. Today, nobody does.
Is it compliant?
Why did it decide this one case?
What does one outcome cost?
Evalbench: The four steps of trust.
Purpose-built evaluation loops, run before launch and continuously after. This is how every question finally gets an answer.
Synthesised from industry and process context, production data, policy docs, and past decisions
A governed AI stack.
No black boxes. No lab lock-in. Every layer runs inside your boundary and proves its own decisions.
In-boundary deployment
Workflows run on your infrastructure. Your proprietary data never crosses the boundary.
Model orchestration
A swappable model layer with no hard alignment to any lab. Tasks are routed by complexity to SLM and frontier. Upgrades are seamless.
Evalbench
The proprietary spine that scores every decision against your own evals - delivering what works for you, not just for benchmarks
Production telemetry
Unit-level observability in production, feeding continuous improvement loops and building your core asset for future model training
Shipped into production, across regulated sectors.
Embedded engineers, Fixed-scope sprints.
Our forward-deployed engineers embed with your teams to build agentic workflows on your infra — then hand over and exit on defined criteria.
- Discover01
Embed & map
FDEs embed with your teams to find the workflows where agentic AI shifts the unit economics.
- Build02
Build & orchestrate
Workflows run on your infra. Evalbench picks the model; SLMs are fine-tuned only where warranted.
- Prove03
Test & adopt
Test-and-update cycles run against every capability upgrade, driving adoption on real feedback.
- Exit04
Hand over & leave
You keep the workflows, a trained team, and Evalbench standing as your in-house eval layer.
Get your agents out of the pilot.
Bring us one workflow. We'll walk it from discovery to in-boundary deployment — auditable, compliant, and built to finish.