Congruent
AI native radars for self-driving cars
Y CombinatorWinter 2026ActiveIndustrials
What they do
Problem
Existing automotive radars don’t provide raw data access or high-fidelity simulation needed to train end-to-end autonomous driving systems.
Solution
Congruent builds an AI-native radar that exposes raw radar data and includes a world-model-based radar simulator for training autonomous driving neural networks.
Who it's for
Autonomous driving teams at automakers and self-driving technology companies building end-to-end AV stacks.
Founders
Clement Barthes
Founder - CEO
ex-head of autonomy at Zendar ex-CTO at Safehub, making smart sensors to evaluate building damage after earthquakes ex-Research Engineer and Lab Manager at UC Berkeley - PEER lab
Company timeline
- Founded2025
- YC batchWinter 2026
- StatusActive
- Team size2 people
- LocationSan Francisco, CA, USA
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