Service
Custom evaluation datasets and grading rubrics
Writing good test cases is slow, skilled work that engineering teams rarely have time for. We build the test set, the expected answers and the grading rubric, and check that automated graders agree with human judgement.
What we test
- Test cases drawn from your real conversations and documents
- Adversarial and edge cases written by hand
- Rubrics a second reviewer can apply consistently
- Agreement checks between human and automated graders
What you get
A versioned dataset and rubric in the format your tooling uses, with notes on coverage and known gaps. You own it.
Where the fix is in the setup (a prompt, a permission, a retrieval or guardrail setting) we make it and run the failed cases again. The test suite is yours to keep.
Who asks for this
ML and product teams who need an eval suite and would rather spend engineering time on the product.
Contact
Tell us what your assistant does. We'll tell you how we'd test it.
Other work
- Prompt injection testing for AI agents
- Third-party LLM red teaming
- Independent AI assistant assessment report
- Chatbot hallucination and accuracy audit
- EU AI Act transparency testing for chatbots
- AI agent tool and permissions review
- System prompt and data leakage testing
- Crisis and vulnerable-user response testing
- AI vendor due diligence testing
- Regression testing for model upgrades