Congruent
AI native radars for self-driving cars
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.
- Website
- congruent.io
- City
- San Francisco
- Country
- United States
- YC batch
- Winter 2026
- Team
- 2 people
- Stage
- Early stage
- AI-native
- Yes
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