Nexar AI - The Real world edge

The Edge-to-Edge Operating System for Autonomous AI.

We operate the world's largest open video driving dataset, enabling us to source, structure and build the models for next-generation AV training and real-time road intelligence.

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10B+

miles of real driving

350K+

connected cameras

60M+

edge cases

Who we serve

AV & ADAS

Simulators miss the long tail. Perception stacks trained on synthetic data fail in real-world deployment — and regulators require proof of real-world competence no simulator can generate. Nexar gives AV teams 60M+ real edge cases, collision prediction, and the only credibility test built on 10 billion human-driven miles.

Insurance

Territory-based pricing assumes uniform risk across a ZIP — but reality is block-by-block. Mispriced exposure is the largest unaddressed leak in auto insurance. Nexar gives carriers a shared, real-world risk baseline refreshed from 100 million fresh miles every month.

Cities & DOTs

Inspection cycles miss the changes that matter. Hazard reports lag the event by days or weeks. Budgets are annual but road conditions change daily. Nexar gives transportation agencies real-time ground truth from 350,000 connected cameras, integrated into IBM watsonx workflows.

Fleets

Telematics records events after the fact — no prediction, no context. Driver coaching fails because drivers don't remember the moment. Insurance premiums are priced on claims history, not risk prevention. Nexar gives fleets real-time collision prediction and route-level risk scoring.

Introducing BADAS 2.0

We Just Launched The World's Best Collision Prediction Model.

BADAS 2.0 anticipates crashes before they happen - 99.4% precision, 91% early warning recall, trained on 2 million real-world driving clips. We fine-tuned NVIDIA's Cosmos on the same data. BADAS wins, at 91x fewer parameters.

Not a benchmark. A deployment. 

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