Founded by Evan Carnahan in 2025
Train autonomous driving models with raw real and synthetic radar data
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You can use Congruent to train and validate self-driving systems with raw radar data. It provides automotive radar technology connected to a generative simulator and digital-twin environments. Instead of relying solely on physical road testing, you can record real sensor data, augment driving scenes inside your world model, and generate synthetic raw radar data. This lets your engineering team simulate infinite driving scenes, test critical safety edge cases, and thoroughly evaluate closed-loop vehicle autonomy models directly before deploying them onto actual public roads.
What Congruent does
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