Foxglove provides an observability stack specifically designed for robotics development teams managing multimodal data. The platform enables users to collect, analyze, and visualize complex data streams like images, point clouds, and time series for faster iteration and debugging. It simplifies data serialization, transportation, and management, allowing robotics engineers to focus on core autonomy challenges.
Funding
$18.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Robotics developers face challenges in visualizing, debugging, and managing the diverse data streams generated by robots, including camera images, lidar, and other sensor inputs. Extracting and analyzing this multimodal data is complex and time-consuming, hindering development velocity and issue resolution.
Solution
Foxglove provides a unified platform designed to streamline the visualization, debugging, and management of multimodal robotics data. The platform allows developers to import and stream data from various sensors, analyze interactive visualizations from live and recorded data, and display and control custom robot models in a 3D environment. By centralizing data management and visualization, Foxglove enables faster iteration, more effective collaboration, and quicker issue resolution, allowing developers to focus on core innovation.
Target Audience
Foxglove is designed for robotics developers and companies building embodied AI solutions.
Features
- Supports import and streaming of multimodal data, including camera images, lidar, point clouds, radar, time series, and operational logs.
- Interactive 3D scene for displaying and controlling custom robot models.
- Tools for building bespoke panels, converting custom messages, and aliasing topic names.
- Streamlined platform for sharing layouts and annotating data.
- Facilitates collaboration while viewing and analyzing data.