Foxglove
Company Information
What Is Foxglove?
Foxglove is a robotics software company developing a data platform for physical AI and autonomous systems. Its technology helps robotics engineering teams collect, visualize, organize, and analyze information generated by robots during development, testing, and real-world operations. The platform brings together sensor recordings, operational logs, and fleet data to support robotic software debugging, performance analysis, and AI model development.
What Does Foxglove Do?
Foxglove develops robotics data visualization and management software that enables engineers to examine how robots perceive their surroundings, make decisions, and respond to operating conditions. Its platform processes information from cameras, LiDAR sensors, navigation systems, and other robotic components, allowing teams to investigate system behavior using synchronized visualizations and recorded data.
The company also provides robot fleet monitoring and AI-assisted debugging tools that connect deployed robots with centralized data infrastructure. Engineering teams can access live telemetry, replay recorded operations, search for specific events, and organize datasets for physical AI training and evaluation.
Foxglove Technology
Foxglove develops multimodal robotics data infrastructure that combines sensor recording, synchronized visualization, cloud data management, and remote robot connectivity. Its platform processes information from cameras, LiDAR, positioning systems, telemetry streams, and robotic software logs, allowing engineering teams to examine different data sources within a shared timeline.
The company’s technology supports ROS, MCAP, and other robotics data formats, enabling integration with existing robotic software environments. Its visualization system combines 3D representations, maps, plots, diagnostic messages, and video streams, while its data management infrastructure indexes recordings by device, time, and sensor topic.
Foxglove also incorporates AI agents and Model Context Protocol integrations that allow developers to search robotics data, generate visualization layouts, and investigate system behavior through natural-language requests. Its infrastructure supports cloud-hosted, customer-managed storage, and on-premises deployment options.
Why Foxglove Matters
Autonomous robots generate large volumes of information from sensors, software components, and operational systems. Understanding this information is essential for identifying failures, improving navigation, and evaluating robotic behavior. Robotics data visualization gives engineering teams a way to examine these systems without relying entirely on custom debugging tools.
Foxglove contributes to the development of physical AI infrastructure by connecting robot data collection, analysis, and dataset management within a common platform. Its technology is relevant to companies developing autonomous vehicles, industrial robots, and other intelligent machines that require continuous testing and improvement using real-world operational data.
Foxglove Products & Platforms
Foxglove Fleet
Foxglove Fleet provides robot data collection and remote connectivity for deployed robotic systems. It connects robots to engineering teams, supporting live telemetry visualization, remote debugging, and teleoperation workflows. Its Foxlet software automatically uploads recorded data from robots, including MCAP and ROS bag files, for centralized analysis.
Foxglove Data Management
Foxglove Data Management is a centralized platform for storing, indexing, searching, and organizing robotics recordings. It supports multimodal robotics data, including sensor information, operational events, and metadata. Engineers can locate specific recordings, annotate events, and retrieve datasets using structured queries or natural-language searches.
Foxglove Visualization
Foxglove Visualization is a robotics debugging and visualization workspace for inspecting live and recorded robotic data. It combines 3D visualizations, camera feeds, maps, plots, diagnostic information, and sensor measurements into synchronized layouts. Engineers can replay robotic operations, compare recordings, and investigate software behavior across multiple data sources.
Foxglove Agents
Foxglove Agents provides AI-assisted robotics data analysis through natural-language interactions. Developers can ask questions about recorded robot behavior, search for operational events, generate visualization layouts, and create scripts for data processing. The technology includes an integrated AI agent and Model Context Protocol (MCP) connectivity for external development assistants.
Foxglove SDK and MCAP
Foxglove provides software development tools for recording and integrating robotic data using C++, Python, and Rust. The company also maintains MCAP, an open-source data recording format designed to store synchronized multimodal information such as sensor messages, images, and telemetry. These tools support data collection and integration with robotics software frameworks.
Foxglove Applications
Robotics Software Debugging: Analyzing sensor data, navigation behavior, and software diagnostics to identify issues during robotic development and testing.
Autonomous Vehicle Development: Visualizing camera recordings, LiDAR measurements, localization data, and planning information to investigate autonomous driving behavior.
Robot Fleet Monitoring: Connecting deployed robotic systems to centralized software for remote telemetry inspection, operational monitoring, and troubleshooting.
Physical AI Dataset Management: Organizing and searching robotic recordings to identify useful examples for AI model training, evaluation, and performance improvement.
Industrial Robotics: Analyzing robotic operations and sensor information from manufacturing equipment, warehouse robots, and automated production systems.
Robotics Testing and Validation: Comparing recorded robot operations across software versions to investigate performance changes and verify corrections.
Remote Robotics Operations: Accessing live robot data and supporting teleoperation workflows for robotic systems deployed outside engineering facilities.
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Frequently Asked Questions
What is Foxglove?
Foxglove is a robotics software company developing a data platform for collecting, visualizing, managing, and analyzing information generated by robots and autonomous systems. Its technology supports physical AI development, debugging, and fleet operations.
What does Foxglove do?
Foxglove provides software that helps robotics engineering teams inspect sensor recordings, monitor live robot data, investigate software failures, and organize operational datasets for testing and AI development.
What is Foxglove Visualization?
Foxglove Visualization is a robotics debugging workspace that displays synchronized sensor data, 3D environments, camera feeds, maps, and diagnostic information. It allows engineers to inspect live robotic systems and replay recorded operations.
What is Foxglove Fleet?
Foxglove Fleet connects deployed robots with centralized data infrastructure. It supports automatic recording uploads, remote telemetry visualization, robot connectivity, and teleoperation workflows.
How does Foxglove use artificial intelligence?
Foxglove incorporates AI agents that help developers search robotic recordings, investigate operational events, generate visualization layouts, and analyze robot behavior through natural-language requests. Its platform also supports the organization of datasets used in physical AI development.
Does Foxglove support ROS and MCAP?
Yes. Foxglove supports ROS 1, ROS 2, and MCAP, along with other robotics data formats. The company also created and maintains the open-source MCAP recording format for multimodal data.
Which industries use Foxglove technology?
Foxglove supports robotics development in autonomous vehicles, manufacturing, logistics, defense, agriculture, construction, mining, and other industries developing intelligent machines and autonomous systems.
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