Congruent

AI native radars for self-driving cars

·Hardware & IoT·YC Winter 2026·tracked since Sep 25, 2026
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Monthly revenue–Not shared yet
Rank–Unranked
Last 30 days–Growth in MRR
Revenue per founder–– founders

About Congruent

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.

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