Foxglove launches unified Data Search and Curation capabilities

Robotics development software provider Foxglove announced Data Search and Curation, a new set of capabilities that the company said will help robotics teams replace fragmented, manual data workflows with a unified platform to find and curate the mission-critical events, anomalies and system behavior that matter most across growing volumes of operational data.

Additionally, the company expanded the Foxglove Data Platform with Bring Your Own Storage (BYOS), a new, self-hosted data lake deployment model that Foxglove said allows customers to maintain full control over data at rest while still providing the benefits of a fully managed database.

Foxglove also added a new free Basic Seat tier to expand access to visualization across teams.

Find the data that matters, faster

As robotics companies scale from prototype to production, Foxglove said that the critical path is shifting from generating more data to finding the most essential data quickly enough to debug issues, investigate failures, review safety-critical events and improve system performance.

The company said that the latest product updates are designed to address that shift by enabling teams to inspect more data faster, bring more people into key workflows, and support more flexible operations across complex deployments.

Foxglove said that it is launching Data Search and Curation to help robotics teams find, organize and operationalize data more effectively. With Data Search, users can directly query multimodal robotics data, making it faster to identify events of interest without needing to preprocess or ingest data into a separate data warehouse. New data curation capabilities help teams tag, annotate and enrich events, making it easier to preserve key findings, build training and validation datasets, and support repeatable analysis across programs.

“Robotics teams are generating more data than ever, but the real challenge is finding the critical 1% that drives improvement in the real world,” said Adrian Macneil, co-founder and CEO, Foxglove. “Companies that win in Physical AI are the ones with the strongest data flywheel, turning production robot data into better decisions, faster model improvements, and new robot capabilities. Data Search and Curation helps teams uncover that high-value 1% faster so they can learn faster and improve robot performance in the real world.”

Together, Foxglove said that these capabilities help robotics developers improve iteration speed, streamline collaboration and turn growing volumes of robotics data into actionable insights. For teams operating in complex or safety-critical environments, Foxglove said that faster access to relevant data can accelerate debugging, model training, validation and overall system improvement, strengthening the data flywheel that helps teams learn faster and improve systems over time.

One platform to manage the physical AI data lifecycle

Foxglove said that it is introducing a new, free Basic Seat tier to make it easier for robotics organizations to extend access beyond engineering to teams involved in QA, triage, safety review and management. The company said that Basic Seats give more stakeholders direct visibility into robot behavior, system performance and operational events.

By giving more teams access to the same data and workflows engineering relies on, Foxglove said that Basic Seats help organizations reduce handoff friction, accelerate issue investigation and improve alignment across development and operations. The company said that this results in a more scalable way to support collaboration, speed decision-making and bring the right people into critical workflows as robotics programs grow.

Additionally, Foxglove introduced BYOS, a deployment model that gives enterprise robotics companies more control over how their data is stored and managed without the need to manually provision cloud infrastructure.

With BYOS, Foxglove said that customers host all multimodal log data in their own cloud object storage, while it provides the managed compute and services to make that data usable, including indexing, query, search, evaluation and metadata workflows.

For enterprise teams, the company said that BYOS offers the ability to scale Foxglove in environments with stricter data, infrastructure or residency requirements. It gives customers tight control over their data while reducing the operational burden that comes with running a self-hosted Kubernetes deployment. Foxglove said that this results in a more flexible deployment model that helps organizations move faster without compromising on enterprise requirements.

Together, Foxglove said that these product updates reflect the company’s evolution from observability into a comprehensive physical AI data platform to capture and learn from all types of multimodal data.

As the industry scales, Foxglove said that it will continue to expand the platform to help customers turn growing volumes of robotics data and deployment complexity into faster decisions, better performance and a stronger path to production.