- Your evals pass but your customers still complain about issues you just fixed.
- You vibed an eval harness but now your team spends its time fixing its 37 different parts.
- You ran a $247 context engineering experiment but your teammate saw it fail 4 days ago already.
Bitfab is an agent reliability platform. It builds and runs stable internal benchmarks from your actual customer data so you can ship reliable agents faster.
Test on what your customers actually did
Bitfab replays each customer run against a snapshot of the data it originally saw, so your benchmark matches production.
Safe emulation
- Replay any production run on its original data, without rebuilding the scenario.
- API and database sandboxes let your agent read and write real data safely.
Judging you don't have to maintain
You say what should have happened. Bitfab judges every run against it, with no judge prompts to write or tune.
Managed judging
- Bitfab drafts the expected outcome for each scenario, even complex ones. You review it.
- Each run is judged on its own outcome, not one rubric for every user.
- The same verdict every run, with the evidence behind it.
Your team and its coding agents build on each other's work
Every experiment, outcome, and verdict you and your coding agents create is recorded and shared with your whole team automatically.
Agent-first system of record
- Nobody pays for an experiment a teammate already ran.
- Your coding agents check what has been tried before they try it.
- Everyone sees why a change was made, not just whether it passed.