The archive · Developer & Business Tools · Product decision · 2022–2026
Rerun bets physical AI needs its own data stack; $17M seed from Point Nine
Stockholm startup open-sourced the logging/visualization layer for robots and sensors, adopted by Meta/Google/Unitree, then raised $17M to build the database.
Rerun
What the business is
Open-source multimodal data platform for 'physical AI': log, query, visualize and stream robotics data (video, point clouds, tensors, joint states) to training, with a commercial database and cloud hub on top.
Starting capital：$17M seed announced March 2025, led by Point Nine with Costanoa Ventures, Sunflower Capital, Seedcamp and angels including Guillermo Rauch, Eric Jang, Oliver Cameron, Wes McKinney and Nicolas Dessaigne; total funding $20.2M.
How it started
Founded in 2022 in Stockholm by Nikolaus West, Emil Ernerfeldt and Moritz Schiebold, drawing on stints at Apple, AWS, Meta, Unity, Zenly and Zipline. Their thesis: vision and robotics were about to be transformed by AI, but the existing data stack — old robotics visualizers like RViz or generic data lakes — couldn't handle multimodal, time-varying sensor data.
What happened
For two years the team built the open-source logging and visualization framework, which became the most popular open-source tool for multimodal data; Meta, Google, Hugging Face's LeRobot and Unitree adopted it in their own open-source work. In March 2025 Rerun raised a $17M seed to build a database and cloud data platform around the same data model, with a commercial product under development with design partners and plans to double the team.
How it ended up
Still scaling: as of September 2026 the open-source project sits at 11.4k GitHub stars, the viewer remains free, and Rerun is building Rerun Hub — a scalable catalog and cloud platform for robotic data — while pushing deeper into robotics, drones and spatial computing.
Background
Rerun is a Stockholm-based startup building the data stack for 'physical AI' — the AI systems running in robots, drones, cars and spatial computing. Its open-source project lets teams log, query, visualize and stream multimodal data (video, point clouds, tensors, joint states) to training, and the company is building a commercial database and cloud hub around the same data model.
Founded in 2022 by Nikolaus West, Emil Ernerfeldt and Moritz Schiebold — veterans of Apple, AWS, Meta, Unity, Zenly and Zipline — Rerun bet that existing tools were wrong for the problem: RViz-era robotics visualizers predate machine learning, while data lakes don't understand spatial, time-varying data. The open-source viewer became the most popular framework for logging and visualizing multimodal data, adopted by Meta, Google, Hugging Face's LeRobot and Unitree.
In March 2025 Rerun raised a $17M seed led by Point Nine with Costanoa, Sunflower Capital and Seedcamp, bringing total funding to $20.2M. The money funds a database and cloud data platform (Rerun Hub) built on the same data model as the open-source project, with visualization built in, plus plans to roughly double the team. As of September 2026 the repo has 11.4k GitHub stars.
The bet is that physical AI creates a data flywheel — smarter models, more deployed robots, more data — and that whoever owns the data infrastructure wins the loop. Rerun is selling open source first and the database second, letting adoption prove demand before the paid product ships.
What has to be true
- Robot teams had no good option: old robotics visualizers ignore ML workflows, and generic data lakes can't represent spatial, time-varying data — so the gap was real and painful.
- Open source made the viewer the default tool inside Meta, Google, Hugging Face and Unitree before any sales conversation, turning adopters into a distribution channel.
- Ernerfeldt's egui gave Rerun a home-grown rendering stack, so the team controlled performance end to end instead of borrowing a slow off-the-shelf GUI.
- The data flywheel argument — more robots, more data, smarter models — gave investors a reason the category would grow even before the commercial product shipped.
- Stockholm's pool of ex-Meta/Zenly/Unity engineers let a small team ship world-class developer tooling from Europe.
What can be applied
Wedge first, monetize later: open-sourcing the viewer every robotics team needed built Rerun's community and demand proof, so the paid database arrived after open source made it default.
Aftermath
As of September 2026, Rerun's open-source project sits at about 11.4k GitHub stars and the viewer is free, while the commercial multimodal database and Rerun Hub remain in development with design partners (per the GitHub repo and the March 2025 seed announcement). The company is doubling down on robotics, drones and spatial computing, and its open-source work is embedded in projects from Meta, Google, Hugging Face and Unitree. The open question is whether a database business can monetize what the community expects for free.
Sources
- Rerun's open source AI platform for robots, drones, and cars revs up with $17M seed
- Rerun gets $17M to build the essential data infrastructure for AI-powered robots, drones and cars
- The Missing Data Infrastructure for Physical AI
- rerun-io/rerun
- rerun-io/rerun star history
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