Stockholm-based startup Rerun.io AB secures $17 million in seed funding to develop a data infrastructure platform for 'physical AI' used in robots, drones, and autonomous vehicles.
The funding round, led by Point Nine, also included Sunflower Capital, Coatanoa Ventures, Seedcamp, and notable angel investors like Guillermo Rauch and Nicolas Dessaigne.
Rerun's database tools cater to data streams from robots, drones, and AI sources, offering features like visual debugging, spatial visualizations, and detailed analytics.
As the demand for physical AI increases with advancements in autonomous vehicles and robotics, Rerun aims to address the data infrastructure bottleneck in this field.
CEO Nikolaus West emphasizes the potential of physical AI to transform the global economy but notes the inadequacy of current data stacks for this purpose.
Rerun's database supports complex multimodal data from 3D scenes and video streams, with open-source versions already attracting users from companies like Meta Platforms and Google.
The startup's focus on open-source tools has generated trust among leading companies in the physical AI sector, enhancing its competitiveness in the market.
Rerun plans to use the funding to expand its team, launch a commercial version of its multimodal database, and further integrate its open-source products with physical AI devices.
The company's goal is to facilitate faster product development in robotics and drones by providing efficient data infrastructure and visualization systems.
Rerun's efforts in advancing physical AI technologies have been recognized, with plans to deepen collaborations with industry experts and accelerate innovation in the field.