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Congruent

AI native radars for self-driving cars

About

At Congruent, we build radars for end-to-end autonomous systems. The most advanced autonomous systems are trained as a single neural network from raw sensor data to navigation actions. For a sensor to be included in these pipelines sensor stacks requires two key properties: access to raw sensor data and a high-fidelity sensor simulator. Current automotive radars have neither, they output heavily processed point clouds and no raw radar simulator exists for driving scenes. Congruent solves both problems: a radar architecture that exposes raw data, paired with a world model based radar simulator. Radar is the only depth sensor at a price point that scales to every car on the road and works in all weather conditions. Congruent is building the radar compatible with the training architectures that will make mass-market vehicles autonomous.

Topics

Location
San Francisco, CA, United States
Team size
2 employees
YC batch
Winter 2026
Status
Active
Stage
Early stage

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Questions and answers

What does Congruent do?

AI native radars for self-driving cars

Where is Congruent based?

San Francisco, CA, United States

How many people work at Congruent?

2 employees, according to the company profile.

Has Congruent raised money?

There are no funding rounds for Congruent in our data.

What are the alternatives to Congruent?

Similar startups: May Mobility, Fetii, and Polymath Robotics.