Measure quality from
real conversations
Run evaluations directly on your assistants' chat logs. Score responses for accuracy, faithfulness, and hallucination rate to understand how your AI assistant is actually performing in the wild.
Catch regressions before your users do
Ejento runs a full evaluation suite on every deploy. You always know if a model swap or prompt change hurt quality before it reaches your users.
Quality scoring
Score the quality of responses and retrieval in one view. From accuracy, faithfulness, relevance, and many more metrics.
Hallucination/groundedness tracking
Track hallucination rates over time and get alerted before they spike above your threshold.
Regression detection
Compare response quality on every model swap or prompt update. Deploy with confidence.
A/B model testing
Run two LLMs side-by-side on the same eval set and pick the winner on your own metrics.
Human feedback loop
Capture thumbs up/down from users and surface low-rated responses for review and retraining.
Ready to measure quality?
Run evaluations against your live assistants and surface regressions before your users do.