Foxglove, a leading data and observability platform designed for Physical AI, has secured $40 million in Series B funding. The round was led by Bessemer Venture Partners, with continued support from existing backers Eclipse and Amplify Partners. This investment marks a major milestone for Foxglove as it continues to power the next generation of robotics and intelligent systems.

Physical AI is rapidly reshaping industries such as manufacturing, logistics, transportation, agriculture, construction, aerospace, and defense. These sectors rely heavily on advanced data infrastructure to train and deploy robots capable of performing complex, real-world tasks. By enabling developers to collect, analyze, and learn from vast amounts of multimodal data, Foxglove’s platform accelerates innovation across the Physical AI ecosystem.

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The company already supports tens of thousands of developers from emerging startups to global industry leaders including NVIDIA, Amazon, Anduril, Wayve, and Dexterity who depend on its tools to transform raw data into actionable intelligence.

“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.”

Jeremy Levine, Partner at Bessemer Venture Partners, emphasized Foxglove’s industry-defining role, saying, “At Bessemer, we believe Physical AI represents the next generational platform shift as impactful as mobile computing or cloud infrastructure. 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.”

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Built specifically for Physical AI, Foxglove’s platform manages the unique demands of multimodal sensor data, large-scale datasets, and bandwidth-limited edge environments. It features:

  • MCAP, an open-source multimodal logging standard launched in 2022, now widely adopted across the Physical AI ecosystem and integrated with ROS 2 and NVIDIA Isaac.
  • A powerful Data Platform that allows flexible storage, search, and querying of petabyte-scale robotics data across cloud, on-premises, and air-gapped setups.
  • Visualization tools that unify 3D, video, audio, GNSS, and time-series data for interactive development and debugging.

With this new funding, Foxglove plans to enhance its visualization and data management capabilities while expanding its platform to cover the entire data lifecycle from prototype to global deployment. The company aims to solidify its position as the leading infrastructure provider for the Physical AI revolution.

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