Foxglove has announced a new intelligent AI layer that enables robotics developers to search, visualize, compare, debug, and curate multimodal datasets by simply describing what they need in natural language. The new agentic capabilities are available through the Agent Sidebar and the Foxglove MCP server.
Foxglove launches agentic data platform for Physical AI.
Semantic Search powered by NVIDIA Cosmos for natural language retrieval.
Agent Sidebar coordinates data finding, visualization, and comparison.
Comparison Mode synchronizes runs to understand behavior divergence.
Remote Access streams robot data to browser for real-time debugging.
Supports automotive, aerospace, defense, logistics, and consumer robotics.
Robotics programs advance at the rate teams can close the loop between a failure in the field and a validated fix. Today that loop consumes much of an autonomy team's engineering capacity, while most of the data a fleet collects is never reviewed. Foxglove raises the yield on data teams have already paid to collect and store, converting it into more model improvements per quarter. It frees engineers for model development and lets teams diagnose field incidents the same day, without scheduling an onsite visit.
Semantic Search enables users to describe a behavior or scenario in natural language, retrieving matching multimodal segments from large volumes of unlabeled data. Powered by NVIDIA Cosmos, a video-text embedding model purpose-built for Physical AI, it delivers state-of-the-art retrieval accuracy on physical AI benchmarks. The Agent Sidebar coordinates work across the platform, allowing developers to find data, create visualizations, investigate failures, compare runs, and curate results into datasets. Comparison Mode synchronizes two or more runs to understand behavior divergence across models, software versions, robots, or scenarios. Remote Access streams every topic from a remote robot directly to the browser, letting engineers observe and debug a deployed system in real time from anywhere.
"Robots are increasingly powered by AI, but the workflows used to develop and improve them remain largely manual," said Adrian Macneil, co-founder and CEO of Foxglove. "Foxglove brings intelligence into the development loop, allowing engineers to describe the behavior they need to investigate or the dataset they want to create, and let agents do the work."
"Physical AI is moving beyond recognizing objects in a frame to understanding actions as they unfold in real time," said Amit Goel, head of robotics partner ecosystem at NVIDIA. "With Semantic Search powered by NVIDIA Cosmos world models, Foxglove is helping robotics developers search video and multimodal robot data in natural language and turn real-world context into faster debugging, evaluation and model improvement."
About Foxglove
Foxglove is the agentic data platform for Physical AI. Built for robotics teams developing real-world systems, Foxglove provides a purpose-built, modular platform to collect, organize, and learn from vast quantities of multimodal data, creating the data flywheel to rapidly scale from development to distributed fleets. Founded in 2021, Foxglove supports hundreds of customers across automotive, aerospace, defense, logistics, agriculture, construction, and consumer robotics to deploy the next generation of intelligent machines.
