Automated quality evaluation for LLM-powered systems. Detect hallucinations, score faithfulness, measure bias — at scale, without human review.
Every metric backed by a research-grounded judge model. Every score explained with evidence.
Identifies factual claims in the model's output that contradict verifiable knowledge or provided context. Flags specific sentences, not just a score.
CRITICAL SAFETYFor RAG systems: measures whether every claim in the response is traceable back to the retrieved context. Catches fabrication even when plausible.
RAG ESSENTIALScores whether the response actually addresses what was asked. Catches deflection, off-topic responses, and models that answer a different question.
QUALITY CORETests for differential treatment across demographic groups using counterfactual analysis. Surfaces systematic fairness failures invisible to other metrics.
FAIRNESSDefine your own quality criteria in plain language. The judge scores against your rubric — brand voice, legal compliance, domain accuracy, anything you need.
FLEXIBLESelect an eval type, load an example, and run the evaluation. All demo data is pre-loaded — no API key needed.
Load a scenario and run
the evaluation to see results
Send the question, model response, and optional context via API or web UI. Works with any LLM — GPT, Claude, Gemini, open-source models.
A calibrated judge model analyses the response across your chosen metrics, identifying specific claims, gaps, and policy violations with citations.
Get structured scores, pass/warn/fail verdicts, evidence chains, and actionable reasoning — ready to integrate into your CI/CD pipeline.
Replace manual review of LLM outputs with automated, research-backed scoring. Integrate into pytest suites, CI pipelines, and release gates.
Know before you deploy whether your model's output quality meets your bar. Track regressions across model versions with comparable scores.
Test every link in your retrieval-augmented pipeline — retrieval precision, context coverage, and answer faithfulness — in a single eval run.
Document hallucination rates, bias findings, and safety policy compliance for regulatory review. Every verdict includes an evidence chain.
No API key needed for the demo. See every metric in action in under 60 seconds.