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AI

Benchmarking claims, not decks

Benchmarking model architecture, tooling, and performance claims — backing foundation model, applied AI, and infrastructure teams whose numbers hold up under our own testing.

What We Evaluate

Seven criteria, applied hands-on

AI Evaluation

Model Performance
Inference Economics
Proprietary Data
Robustness
Latency
Architecture
Defensibility

Building an AI company?

We'd like to see it work before we form a view. Reach out to start the evaluation process.