Repo · Benchmarks & research
Jev for Physical AI
Measured robotics study that runs Jev as the decision layer for a 10,000-robot warehouse fleet over 41 bilingual incident templates and publishes a…
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Putting TypeSafe's Jev to work on robots, fleets, and edge hardware — real measured numbers, honestly caveated.
benchmarkedge-aijevphysical-airoboticstypesafe
How builders describe it
Measured robotics study that runs Jev as the decision layer for a 10,000-robot warehouse fleet over 41 bilingual incident templates and publishes a crossover against a self-hosted ModernBERT: 0.527 s p50, $24.57 per million decisions, and 91.3% agreement with template labels.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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