Solution
AI App Testing & Evaluation
Measure your LLM app's accuracy, safety, and drift so you can ship AI changes with confidence.
The problem
- 01
No objective measure of AI answer quality
- 02
Prompt or model changes cause silent regressions
- 03
Hallucinations reach real users
How QALabs solves it
- Step 1
Build eval datasets
Golden test sets based on real user questions and edge cases.
- Step 2
Score accuracy and safety
Automated and human review scoring for correctness, tone, and safety.
- Step 3
Run evals in CI
Every prompt or model change is tested before it ships.
- Step 4
Track drift
Production monitoring flags quality drops over time.
Tools we use
- Promptfoo
- LangSmith
- DeepEval
- Ragas
- GitHub Actions
Proof
Case study coming soon