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Congruent Radar

THE ONLY RADAR FOR END-TO-END AUTONOMY

Train with raw radar data, real or synthetic. Our radar connects to your vehicle and your world model through its digital-twin. Create infinite scenes, test edge cases, and evaluate closed-loop.

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Congruent, the only radar with raw data, real or synthetic.

Congruent Radar Technology

The Paradigm Shift: End-to-end Training

Record Real Data Digital Twin Digital Twin with Pedestrian Real with Pedestrian

Record real data.

Augment the scene in your world model.

Get synthetic raw data.

Congruent Radar Mounted

Congruent, the only radar with a generative simulator. that integrates with your world model. for end-to-end autonomy.

TEAM

Evan Carnahan

Evan Carnahan, PhD, Co-founder

Evan is a machine learning expert who earned his doctorate from UT-Austin. He developed physics-learned models for multi-sensor satellite data in Greenland and led the creation of perception pipelines for radar based autonomous systems.

Clement Barthes

Clement Barthes, PhD, Co-founder

Clement earned his doctorate in Structural Mechanics from UC Berkeley. He has developed advanced sensor systems for both automotive and structural health monitoring applications.

Evan Scope Crafts

Evan Scope Crafts, PhD, Founding ML Scientist

Evan Scope Crafts earned his doctorate in computational science, engineering, and mathematics from UT-Austin in 2026. In his doctoral work, he developed principled methods for incorporating diffusion-based generative models into scientific inference problems.