Funding led by Bessemer Venture Partners underscores the critical role of data infrastructure and observability in unlocking robotics at scale.
Foxglove, the leading data and observability platform for Physical AI, today announced $40 million in Series B financing led by Bessemer Venture Partners, with participation from existing investors Eclipse and Amplify Partners.
Physical AI is rapidly transforming critical industries such as manufacturing, logistics, transportation, agriculture, construction, aerospace, and defense. Foxglove empowers developers in these industries to collect, analyze, and learn from the vast quantities of multimodal data required to train and deploy robots. Foxglove’s platform is trusted by tens of thousands of developers, from early-stage startups to industry leaders such as NVIDIA, Amazon, Anduril, Wayve, and Dexterity.
“Every Physical AI company faces the same challenge: building a flywheel that lets robots capture and learn from vast quantities of data in complex, real-world environments,” said Adrian Macneil, CEO of Foxglove. “Our mission is to build that infrastructure so our customers can focus on solving unique, domain-specific problems. This funding allows us to expand our platform to support the complete data lifecycle across development, testing, and operations.”
“At Bessemer, we believe Physical AI represents the next generational platform shift — as impactful as mobile computing or cloud infrastructure,” said Jeremy Levine, partner at Bessemer Venture Partners. “Foxglove is the clear category leader building the developer tools and infrastructure stack that every robotics company will rely on. We’re proud to partner with Adrian and his team as they accelerate this industry-defining opportunity.”
A platform purpose‑built for Physical AI
Physical AI places unique demands on data infrastructure: multimodal sensor data, massive datasets, bandwidth‑constrained edge environments, and the need for precise time‑synchronized analysis. Foxglove addresses these realities end‑to‑end:
- MCAP: an open-source standard for multimodal logging launched by Foxglove in 2022, widely adopted across the Physical AI ecosystem and included by default with the popular ROS 2 and NVIDIA Isaac frameworks.
- Data Platform: storage, search, and query of petabyte‑scale robotics data, with flexible deployment options across cloud, on-premises, and air-gapped environments.
- Visualization: interactive analysis that brings together 3D, video, audio, GNSS, time-series, and other data modalities into a unified workspace for development and debugging.
Foxglove will use its Series B funds to deepen its capabilities in visualization and data management, and to expand its platform to support the entire data lifecycle from initial prototype to global deployments, cementing its position as the leading infrastructure platform for Physical AI.
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