Rerun, a pioneer in multimodal data solutions for Physical AI, has secured $17 million in Seed funding led by Point Nine, with participation from Sunflower Capital, Costanoa Ventures, Seedcamp, and notable angel investors. This funding brings Rerun’s total investment to $20.2 million and accelerates its mission to build the first multimodal data stack purpose-built for Physical AI applications.
As AI systems increasingly interact with the physical world—through robotics, autonomous vehicles, drones, and spatial computing devices—existing data tools struggle to handle the complexity of multimodal data. Rerun is solving this problem by launching a new database and cloud platform, optimized for video streams, 3D scenes, and evolving tensor data, enabling seamless observability, experimentation, and training for AI-driven physical systems.
The Growing Need for a Physical AI Data Stack
1. Physical AI is Reaching a Tipping Point
- AI-powered physical systems are moving toward commercial deployment, but progress is hindered by data bottlenecks.
- The challenge: Traditional data tools were built for classic software, not for AI-driven machines perceiving and acting in real-world environments.
- Skyrocketing investment in Physical AI—across robotics, autonomy, and spatial computing—is increasing the demand for better data infrastructure.
“Most of the world’s GDP exists in the physical world, creating an enormous opportunity for Physical AI to transform our economy. But the current data stack wasn’t built for this new reality.”
— Nikolaus West, Co-Founder & CEO, Rerun
2. Challenges in Handling Physical AI Data
- File-oriented data tools lack flexibility for experimentation and dataset curation.
- Classic data warehouses and lakehouses fail to support real-time multimodal data, requiring complex translation layers.
- AI engineers and developers are forced to build in-house solutions, leading to slow iteration and inefficiencies.
“Say a robot drives into a wall. Why did it do that? You need tools that allow you to see the world through the eyes of the robot.”
— Nikolaus West, Co-Founder & CEO, Rerun
Rerun’s Breakthrough: A Purpose-Built Database & Cloud Platform
1. A Database Designed for Multimodal AI Data
- Optimized for video streams, 3D scenes, and evolving tensor data.
- Built-in visualization and high-performance query capabilities.
- Eliminates complex translation layers between data formats.
2. Inspired by Game Engine Data Models
- Rerun rewrote its stack in Rust for performance and flexibility.
- Enables real-time visualization and data interaction.
- Backed by open-source innovation, already used by Meta, Google, Hugging Face, and Unitree.
“Previously, companies built their own visualization and data infrastructure in-house, but even the biggest firms weren’t satisfied. The old stack lacked performance and flexibility.”
— Nikolaus West, Co-Founder & CEO, Rerun
3. Supporting Faster AI Experimentation & Deployment
- AI models improve with more data, creating a data flywheel effect.
- Rerun helps teams iterate faster, accelerating AI development and deployment.
“There is a data flywheel in Physical AI. The smarter your system, the more data you collect, which makes it even smarter. Rerun helps teams run more experiments faster, which is the biggest lever on development speed.”
— Moritz Schiebold, Co-Founder & COO, Rerun
Backed by Leading Investors & AI Experts
1. Strong Investor Backing
- $17M Seed Round led by Point Nine.
- Participation from Sunflower Capital, Costanoa Ventures, Seedcamp, and top angel investors.
- Total funding to date: $20.2M.
2. Trusted by Industry Experts
“Rerun’s mission to build the multimodal data stack for Physical AI is wildly ambitious. Their open-source work has earned the trust of the most forward-thinking AI companies.”
— Ricardo Sequerra Amram, Partner, Point Nine
“XConn’s Apollo 2 switch demonstrates the advantages of integrating Synopsys’ standards-based PCIe and CXL IP solutions, optimizing performance, power efficiency, and interoperability.”
— Neeraj Paliwal, SVP, IP Product Management, Synopsys
The Road Ahead: Scaling Rerun’s Vision for Physical AI
1. Expanding R&D and Product Development
- Building out its commercial database offering for general availability.
- Enhancing its open-source toolkit for deeper integration into robotics and AI ecosystems.
2. Doubling the Team by Year-End
- Recruiting top talent in robotics, autonomy, data systems, and AI.
- Expanding across cloud infrastructure, database engineering, and visualization.
“As AI moves into the physical world, we believe Rerun can be the foundational platform enabling companies to build, iterate, and ship better products continuously.”
— Ricardo Sequerra Amram, Partner, Point Nine
Rerun is solving one of the biggest bottlenecks in AI development—managing and visualizing multimodal data for Physical AI. With a purpose-built database, cloud platform, and high-performance visualization tools, Rerun is revolutionizing how robotics, autonomous systems, and spatial AI applications handle real-world data.
With $20.2M in total funding, strong investor backing, and growing adoption by industry leaders, Rerun is poised to redefine AI data infrastructure for the next generation of autonomous systems, robotics, and smart environments.
