BuildAI · Available now
Know which agents are fit for the work.
BuildAI decides whether an AI action may happen, and records why. Evaluate agents on your own cases, govern what they are allowed to do, and run them in production on evidence.

Why now
Anyone can build an agent in an afternoon. Deciding whether it is ready for customers, money or regulated work takes evidence, review and a record of who decided.
What BuildAI does
Test it, release it on evidence, learn from every run.



How it works
- 01
Evaluate
Define datasets, cases and expected results. Run evaluations on the server and keep the exact release, suite and policy attached to every result.
- 02
Decide
Compare each candidate with its baseline. Independent reviewers grade and adjudicate, and the release decision is tied to that exact evidence.
- 03
Run and learn
Released agents run through governed paths with approvals and spending limits. Failures are reviewed, redacted and turned into new test cases.
What BuildAI guarantees
Authority follows evidence.
Critical failures block release
No reviewer can wave through a candidate that fails a critical case.
Approvals bound to the action
Approvals are tied to the exact action, expire and work once. High-risk self-approval is refused.
Spending ceilings
Spending limits apply per run and per workspace.
Any model
Evaluate agents built on commercial, open or specialised models side by side.