Rerun Raises $17M to Build the Data Infrastructure Powering the Physical AI Revolution

Rerun Raises $17M to Build the Data Infrastructure Powering the Physical AI Revolution

Benzinga
March 20, 2025

STOCKHOLM, March 20, 2025 (GLOBE NEWSWIRE) -- Rerun, the company building the multimodal data stack for Physical AI, today announced that it secured $17 million in Seed funding led by Point Nine, with participation from Sunflower Capital and existing investors Costanoa Ventures and Seedcamp. Notable angel investors including Guillermo Rauch (CEO of Vercel), Oliver Cameron (CEO of Odyssey), Wes McKinney (creator of pandas, Apache Arrow and Ibis), Eric Jang (VP of AI at 1X) and Nicolas Dessaigne (General Partner at Y Combinator) also joined the round. This brings Rerun's total funding to date to $20.2 million.

"Most of the world's GDP exists in the physical world, creating an enormous opportunity for Physical AI to transform our economy," said Nikolaus West, Co-Founder and CEO of Rerun. "But the current data stack wasn't built for this new reality."

AI systems increasingly interact with the physical world through robotics, autonomous vehicles, drones, and spatial computing devices. These systems use cameras and sensors to perceive their environment and perform actions based on that perception. The datasets these systems produce don't fit nicely into tools built for classic software development. The difficulty of understanding and working with this data is significantly slowing down industry progress.

This is at a time when Physical AI is seeing skyrocketing investment. As more humanoid robots, autonomous vehicles, and spatial computing devices move toward commercial deployment, data infrastructure is becoming a key bottleneck.

"Say a robot drives into a wall. Why did it do that? You need tools that allow you to see the world through the eyes of the robot to know why it acted the way it did," says West. "That's what we've built."

Rerun is launching a new database and cloud data platform purpose-built for Physical ...

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