Rerun develops a data platform for Physical AI applications, serving engineers building systems that interact with the physical world through sensors, cameras, and actuators. The platform comprises an open-source SDK and a commercial offering, both designed to handle the complex data logging, visualization, and querying challenges inherent in robotics, spatial computing, embodied AI, computer vision, and simulation work.
The company's core strength lies in handling multimodal sensor data - 2D and 3D imagery, text, time series, and tensors - through a unified system. Rather than requiring engineers to stitch together disparate tools, Rerun provides integrated logging, visualization, and query capabilities tailored to the visual and temporal nature of physical AI development.
The team's founding reflects deep domain experience. The founders rebuilt tooling across multiple products before recognizing a broader pattern: visualization infrastructure remained a bottleneck for teams advancing computer vision and AI in physical systems. This insight drove the decision to build both open-source and commercial offerings, supporting both individual developers and organisations requiring enterprise-grade infrastructure.
