XDOF Raises $70M to Expand Physical AI Data Infrastructure

XDOF, a Berkeley-based startup focused on data engineering and annotation systems for physical artificial intelligence, has raised $70 million in funding.

The round included participation from Thrive Capital, Spark Capital, Andreessen Horowitz, Lux Capital, and WndrCo.

The company plans to use the funding to expand its dataset infrastructure, improve automated labeling systems, and hire additional engineering talent across its machine learning teams.

Founded by Co-founder and CEO Kalyan Vasudev Alwala, XDOF develops data collection pipelines, hardware telemetry tools, and multi-modal annotation software designed for robotics and physical AI models.

The company focuses on building structured and high-quality training datasets for foundation robotics models. Its systems are designed to organize and process large volumes of physical-world data collected from different hardware environments.

According to the company, XDOF has already automated several physical data triage workflows used by enterprise research labs during its early stage of operations.

The latest funding comes as companies working in robotics and physical AI continue to invest in data infrastructure and model training systems.

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