Foxglove is a purpose-built platform for robotics teams to collect, analyze, and learn from the vast quantities of multimodal data required to build, train, deploy, and operate reliable robots. Foxglove is the robotics development platform of choice for hundreds of robotics companies. From early stage ambitions startups to major enterprises, including three of the top fortune trillion dollar companies.
Regardless of their size, they all choose Foxglove to accelerate their development and focus on their unique differentiators. Foxglove is visualization and management for temporal and multimodal data. It's used by robotics companies to scale and accelerate development.
Foxglove's founding team is intimately familiar with the challenges of robotics development. During our years working together at Cruise, we became frustrated with the status quo in robotics development. Foxglove was founded to increase the GDP of robotics.
Three years later, we're excited to announce the launch of Foxglove 2.0 - a significant milestone designed to set a new standard in robotics observability. As part of 2.0 we are announcing a new integrated UI, a new pricing plan, and changes to our open source strategy - let's dive in. From Visualization to Observability We.
Foxglove is a purpose-built platform that empowers robotics teams to visually debug robots, build reliable autonomy, and scale their development. Today, Foxglove offers a cutting-edge platform for multimodal data management, made for developers in companies, small and large, to automate their robotics development workflows. The company is quickly gaining momentum with industry-leading customers in robotics, automotive, and defense, including companies like Anduril, Dexterity, Wayve, and.
Foxglove, a startup building a data and observability platform for robotics companies, raised $40 million in Series B funding. The DROID dataset trained using DepthAnythingV2 models plus the integration of time-series data from the Franka Robotics Panda Arm visualized using Foxglove. With parameter scales from 25M to 1.3B DepthAnythingV2 demonstrates strong generalization and broad applicability, achieving fine.