Get precise, consistent scores for every LLM output. Know exactly what's broken and how to fix it. No more guessing if changes helped.
All other evaluation tools just prompt LLMs to output scores. But LLMs weren't built for measurement. The result? Wildly inconsistent scores, inability to isolate what you're actually measuring, and massive overhead just to get semi-reliable results.
Our proprietary generative reward models are specifically trained for evaluation - not just another LLM wrapper. Get deterministic precision, focused measurement, and results you can stake your product on.
Proprietary evaluation models built from the ground up - the only real alternative to flaky LLM judges
Instant feedback on every change. Debug in minutes, not days. Know exactly what's working before production.
Finally get metrics you can show stakeholders. Track quality over time with scores that don't jump around.
Simple API integration with single-sentence criteria. No complex prompt engineering or optimization needed.
Built for enterprise-scale teams, with robust compliance and secure integration into your stack.
Deterministic 0-1 scores with clear explanations. Same input = same score, every time.
LLM outputs, RAG systems, agents, tool calls - complete coverage for modern AI apps.
92% accuracy vs 72% for LLM judges. Proven on real-world enterprise use cases.
Single-sentence custom criteria for any domain. Medical, legal, financial - we handle complexity.
CEO
Ex-McKinsey, Quantum Black
Oxford University
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Founding Engineer
Ex-Tesla & Alibaba Cloud
Imperial College London
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Founding Engineer
Ex-Thought Machine, Durham & Imperial College London
CTO
Ex-Graphcore ML Engineer
Oxford University
Stop wrestling with inconsistent evals. Get evaluation infrastructure that works as hard as you do.
