Rerun
Rerun is an open-source toolkit designed for effective log handling and visualization in spatial and embodied AI. It provides managed infrastructure to ingest, store, analyze, and stream data at scale, with built-in visual debugging capabilities. The platform is aimed at simplifying the data engine for physical AI applications, making it easy for developers to visualize and debug their systems. With a strong focus on user experience, Rerun allows for quick setup and integration into existing workflows, positioning itself as a key player in the growing field of AI and robotics.
Rerun
Rerun is an open-source toolkit designed for effective log handling and visualization in spatial and embodied AI. It provides managed infrastructure to ingest, store, analyze, and stream data at scale, with built-in visual debugging capabilities. The platform is aimed at simplifying the data engine for physical AI applications, making it easy for developers to visualize and debug their systems. With a strong focus on user experience, Rerun allows for quick setup and integration into existing workflows, positioning itself as a key player in the growing field of AI and robotics.
TL;DR
Product: Physical AI data platform: logging, visualization, and query engine for multimodal temporal data
Open source: Open-source toolkit with managed infrastructure for ingest, storage, analysis, and streaming
Founded / HQ: 2022 — Stockholm, Sweden
Funding: $17M seed (Mar 20, 2025); total funding reported ≈ $20.2M
Team size: ~56 employees
Company Overview
Problem Domain
Physical AI; robotics and other sensor-rich, embodied AI systems needing multimodal temporal data tooling
Founded
2022
Industry
Physical AI / Developer tools
Funding Track Record
17000000.00 USD
Post-seed total funding reported at approximately $20.2M.
Investor Signal
“Seed led by Point Nine with participation from Seedcamp, Sunflower Capital, Costanoa Ventures and angel investors including Wes McKinney, Guillermo Rauch, Nicolas Dessaigne, Oliver Cameron, and Eric Jang.”