Braintrust specialists for your dedicated team.

Where Braintrust fits in a long-term product team.

Side-by-side experiment comparison is what the tooling adds over a script. Running several prompt or model variants against the same dataset and seeing where each improved or regressed, case by case, turns a single aggregate score into something actionable.

Aggregate scores hide the important detail. A change that raises the average while breaking a category that matters commercially is a regression dressed as an improvement, and only per-case comparison surfaces that.

What your dedicated team does with Braintrust.

Scoring functions have to capture what matters. Exact-match scoring on a task where several phrasings are correct measures the wrong thing, and teams optimise toward whatever the score rewards.

Designing scores that reflect real quality is the substantive work, and explicit scope for your dedicated AI team.

Common Braintrust use cases.

• Variants compared case by case Where each change helped and where it hurt, beyond one aggregate number.
• Scores that reflect real quality Criteria designed for the task, because teams optimise toward whatever is measured.
• Regressions visible before release Category-level comparison catching a change that improves the average and breaks what matters.

Adding Braintrust skills to your team.

Evaluation tooling sits with our AI engineers, with scoring design as the deliverable.

Braintrust specialists join your team remotely as dedicated, full-time team members, selected, employed and managed by us in Chiang Mai and Bangkok. Companies that hire offshore developers through Azendo add the skill at the next monthly cycle.