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Cameras.
Sensors.
Compute.

Our engineering core: helping machines understand Indian roads.

Close view of the glass elements inside a camera lens
Optics · Matthias Oberholzer ↗

How it fits together.

A scooter and rickshaws sharing a narrow street in Agra
Agra · Laura Lezman ↗

AGI for the
physical world.

We’re working on the road data and computing foundations that future general-purpose intelligence will need.

Development timeline
What is sensor fusion?

Sensor fusion combines measurements from several sensors into a shared view. In a vehicle, this can help estimate where road users are and how they move. Read the sensor fusion guide.

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Why process data on the vehicle?

Onboard computing processes sensor inputs close to where they are captured. Our work includes running perception models and measuring latency, power use and system health. See Edge Runtime SDK.

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Why collect Indian road data?

Indian roads include mixed traffic and varied road layouts. Local data helps test systems against those conditions. The India Driving Dataset documents these challenges.

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How will the system be tested?

Our development path includes recorded-data replay, simulation, hardware integration and controlled-site trials. We have not published validated road-autonomy results. Read about self-driving in India.

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