As generative AI moves increasingly into the physical world through robotics, vehicles, and drones, the need to map cloud-based AIs to real-world environments can lead to a huge mismatch. Rerun, a Stockholm-based dev tools startup, which builds a data stack for this emergent kind of “physical AI,” has secured $17 million in seed funding to […] © 2024 TechCrunch. All rights reserved. For personal use only.
Rerun, a Stockholm-based startup developing an open-source AI platform for robots, drones, and cars, has raised a $17 million seed round led by Point Nine. The platform addresses the need for specialized data infrastructure to manage multimodal data (video, 3D scenes, tensors) for physical AI applications, aiming to reduce friction in development workflows. The funding will help Rerun smooth the transition of AI models into real-world environments, building upon existing integrations with open-source projects by companies like Meta and Google.
