Evaluation Services

AI evaluation and observability · by LLM Stats

Pre-release and bespoke benchmark evaluation for frontier models using a standardized suite (GPQA, MMMU-Pro, nolima, Multi-Challenge, ScreenSpot Pro, ERQA, LongBench v2, FACTS Grounding, MRCR v2, HealthBench Hard, and more) plus custom benchmarks built around the customer's application or data.

What it does

Pre-release and bespoke benchmark evaluation for frontier models using a standardized suite (GPQA, MMMU-Pro, nolima, Multi-Challenge, ScreenSpot Pro, ERQA, LongBench v2, FACTS Grounding, MRCR v2, HealthBench Hard, and more) plus custom benchmarks built around the customer's application or data.

  • Comparing and ranking AI models by benchmarks, speed, and pricing
  • Pre-release and bespoke benchmark evaluation for frontier models
  • Calibrated data labeling for SFT, DPO, preference pairs, and evals
Category
AI evaluation and observability
Built for
Healthcare and life sciences
Users
AI researchers, ML engineers and teams, enterprise AI applications developers
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

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