Profile
Foxglove is a leading robotics observability and data platform built specifically for Physical AI and autonomous systems development. Founded in 2021 by former Cruise engineers Adrian Macneil (CEO) and Roman Shtylman (CTO), the company provides a comprehensive suite of tools that help robotics teams visualize, debug, manage, and analyze multimodal robot data. Foxglove is used by many of the world’s most advanced robotics and embodied AI companies (including Shield AI, Wayve, Dexterity, and Scout AI) to ship robots faster by replacing fragmented internal tools with a unified, production-grade platform.
Foxglove does not build physical robots. Instead, it delivers the critical software infrastructure (“the observability layer”) that powers modern robotics development.
Core Products and Capabilities:
- Visualization Studio: A powerful, extensible workspace for live and recorded robot data. Supports 3D scenes, camera feeds, plots, diagnostics, and custom panels. It works with ROS 1, ROS 2, and custom data formats.
- Data Management Platform: A searchable system of record for multimodal robot data (logs, point clouds, images, video, telemetry, etc.). It replaces scattered files with governed, indexed storage and supports powerful search and collaboration.
- Foxglove Fleet: Secure remote connectivity to robots in the field for live visualization, command execution, and automatic data ingestion.
- MCAP: An open-source, high-performance log format co-developed by Foxglove for fast recording and playback of complex robot data.
- SDK, API, and Extensibility: Supports custom panels, scripts, converters, and deep integration with existing stacks.
Foxglove is SOC 2 Type II compliant and designed for enterprise use while remaining developer-friendly. It helps teams build a “robot data flywheel” — capture → organize → analyze → improve — dramatically accelerating iteration cycles from simulation to real-world deployment. The company recently raised a $40M Series B and continues to expand its platform to meet the growing demands of humanoid, autonomous vehicle, and industrial robotics teams.
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