For GenAI products

Your users shouldn't be your QA team.

We build an automated QA loop into your pipeline. Every output is scored against your quality metrics, and failures go back with a reason before anyone sees them.

Planner agent
Retrieval agent
Writer agent
Answer

"Your Pro plan is $49/month and includes 10 seats.""Your Pro plan is $39/month and includes 5 seats."

No quality gate
QA agent
  • Faithfulness
  • Task success
  • Tone
  • Format
Fail: price not in any sourcePass
UsersWrong price shippedCorrect answer shipped
Manual rework Ticket filed, bug traced, answer redone by hand. Hours later.
Feedback: "Price not in retrieved source. Re-retrieve and regenerate."

Three agents produce an answer, nothing checks it, and it ships with the wrong price. A customer notices, and someone redoes it by hand, hours later.

What we set up

Quality you can measure, on every output.

  • 01

    Your quality, written down

    We turn "good" into explicit metrics and rubrics: faithfulness, task success, tone, format, safety, whatever your product lives or dies on.

  • 02

    Checks inside the pipeline

    Coded checks for what code can verify, and calibrated model judges for the rest, scoring outputs as they're produced.

  • 03

    A loop, not a dashboard

    Failures go back to the pipeline with a reason to retry, or to a person when they need one. Nothing bad ships quietly.

  • 04

    Regressions caught on change

    Swap a model, edit a prompt or add an agent, and the suite tells you what got better and what broke, before release.

It's the same review stack we run on public agentic benchmarks. See what it finds there.

Find out where your outputs break, before your users do.

A 20-minute call about your pipeline, what good looks like for your product, and where it fails today.