Evaluation
LLM evaluationInside-outKnow your AI gives the right answer before customers rely on it
We build test sets from your real business questions and measure AI accuracy, reliability and cost per task.
The question we answer
How do you know your AI gives the right answer?
What you get
- Test set built from your real questions
- Accuracy and failure analysis
- Cost and response time per task
- Regression testing on every change
- Monitoring after launch
Data we need
Sample questions and expected answers, plus access to the AI system in scope.
Our approach
LLM evaluationEvidence that your AI answers correctly before customers rely on it, using test sets with known answers, scored automatically and by human review.
Engage this service on its own or within our Revenue Intelligence Program. Sample output shown is illustrative.
FAQ
Questions, answered.
Language models can give confident, wrong answers. Evaluation measures how often that happens on your questions before your customers see it.
Accuracy against known answers, failure patterns, response time and cost per task.
Yes. Model updates, prompt changes and new data can shift results, so tests re-run on every change and monitoring continues after launch.
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Start with a free, 10‑minute assessment.
Every engagement begins with the AI readiness assessment and a call to go through your results.