Physical AI software · early

Argus Systems

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argus.systems

Argus Systems builds data curation and evaluation infrastructure purpose-built for robot foundation model development and physical AI. Co-founded by ex-Waymo Perception engineers who built large-scale autonomous driving data pipelines, the platform standardizes how robotics teams collect high-fidelity real-world sensor data, curate training datasets, run structured evaluations against real-world conditions, and benchmark model performance before deployment; drawing directly from the data flywheel discipline that scaled Waymo's autonomous perception stack. Unlike general-purpose CV data platforms, Argus targets the specific multi-modal sensor and scenario coverage requirements of embodied AI systems. Robot-primary: robots and physical AI models are the exclusive customer vertical. Won the HBS New Venture Competition Dubilier Grand Prize (Student Business Track, 2025) and raised $3M seed co-led by Norwest and Maple VC.