Software Engineer New Grad

Foxglove launches unified Data Search and Curation capabilities. Company looks to accelerate physical AI development. By Robotics 24/7 Staff April 21, 2026 Foxglove released the Data Search and Curation capabilities for its platform, which are an integral part of the Data Flywheel. Stay up-to-date with news and resources you need to do your job. Research industry trends, compare companies and get weekly market intelligence with Robotics 24/7. 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. Latest in safety. Latest in artificial intelligence. Latest robotics news.

Foxglove, a San Francisco-based provider of a data and observability platform for Physical AI, raised $40 million in Series B funding. The round was led by Bessemer Venture Partners, with participation from Eclipse and Amplify Partners. The funds will be used to enhance visualization and data management capabilities and expand the platform to support the entire data lifecycle. Foxglove serves industries like automotive, aerospace, and consumer robotics, with clients including NVIDIA and Amazon.

Foxglove raises $40 million Series B to power the future of Physical AI. Funding led by Bessemer Venture Partners underscores the critical role of data infrastructure and observability in unlocking robotics at scale. Foxglove, the leading data and observability platform for Physical AI, today announced $40 million in Series B financing led by Bessemer Venture Partners, with participation from existing investors Eclipse and Amplify Partners. Physical AI is rapidly transforming critical industries such as manufacturing, logistics, transportation, agriculture, construction, aerospace, and defense. Foxglove empowers developers in these industries to collect, analyze, and learn from the vast quantities of multimodal data required to train and deploy robots. Foxglove's platform is trusted by tens of thousands of developers, from early-stage startups to industry leaders such as NVIDIA, Amazon, Anduril, Wayve, and Dexterity. "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." "At Bessemer, we believe Physical AI represents the next generational platform shift - as impactful as mobile computing or cloud infrastructure," said Jeremy Levine, partner at Bessemer Venture Partners. "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." A platform purpose-built for Physical AI Physical AI places unique demands on data infrastructure: multimodal sensor data, massive datasets, bandwidth-constrained edge environments, and the need for precise time-synchronized analysis. Foxglove addresses these realities end-to-end: * MCAP: an open-source standard for multimodal logging launched by Foxglove in 2022, widely adopted across the Physical AI ecosystem and included by default with the popular ROS 2 and NVIDIA Isaac frameworks. * Data Platform: storage, search, and query of petabyte-scale robotics data, with flexible deployment options across cloud, on-premises, and air-gapped environments. * Visualization: interactive analysis that brings together 3D, video, audio, GNSS, time-series, and other data modalities into a unified workspace for development and debugging. Foxglove will use its Series B funds to deepen its capabilities in visualization and data management, and to expand its platform to support the entire data lifecycle from initial prototype to global deployments, cementing its position as the leading infrastructure platform for Physical AI. About Foxglove Foxglove is building the data and observability platform for Physical AI. From simulated environments to high-stakes production settings, Foxglove provides the observability, data, and developer tools needed to scale autonomy in the real world. Founded in 2021, with alumni from Cruise, Aurora, Amazon Robotics, Stripe, and Coinbase, Foxglove powers hundreds of customers across industries including automotive, aerospace, defense, logistics, agriculture, construction, and consumer robotics. Learn more at foxglove.dev. View source version on businesswire.com: https://www.businesswire.com/news/home/20251112126106/en/