Foxglove

What Foxglove does

Foxglove Technologies, Inc. is a San Francisco-based software company founded in May 2021 by former Cruise team members Adrian Macneil (CEO) and Roman Shtylman (CTO) that provides a multimodal data platform for Physical AI and autonomous robotics companies. The platform spans the full robot data lifecycle — capturing live and recorded data from fleets, visualizing multimodal sensor streams (images, point clouds, 3D scenes, audio, maps), managing petabyte-scale datasets with search and curation, and supporting remote fleet operations — all built on MCAP, Foxglove's open-source container log format that is the default bag format for ROS 2 and was adopted by NVIDIA in Isaac ROS 3.0. Core products include Visualization (panel-based debugging workspace), Data Management (system of record with governance), Fleet (remote robot connectivity), Foxglove Agent (on-robot software), the Python SDK, a REST API, and an extensibility framework for custom panels and converters; enterprise features include SOC 2 Type II compliance, GDPR support, and Bring Your Own Storage for self-hosted data lakes.

The company serves customers across autonomous vehicles (NVIDIA, Amazon, Tesla, Waymo, Wayve, Waabi), defense and aerospace (Shield AI, Scout AI, Saronic, Overland AI), industrial robotics and logistics (Dexterity, ANYbotics, Gatik, Dexory, Cobot), and consumer robotics (Aescape), with dedicated go-to-market coverage for automotive, defense and aerospace, logistics and supply chain, manufacturing, agriculture and forestry, marine, construction and mining, and health and wellbeing verticals. Foxglove employs approximately 75 people, with roughly 40% drawn from autonomous vehicle backgrounds.

The business model is a hybrid of product-led growth and enterprise field sales: a free Basic Seat tier and a self-serve Pro plan at $20 per month (1TB storage, 3 Developer Seats, unlimited Basic Seats) drive bottom-up developer adoption, while annual enterprise contracts with SOC 2 Type II and GDPR compliance address large AV and defense buyers. Foxglove has raised approximately $58.3 million across three rounds (Seed $3.7M in January 2022, Series A $15M in October 2022, Series B $40M in November 2025 led by Bessemer Venture Partners), and operates the annual Actuate developer conference in San Francisco as its primary community and brand-building event.

Name

Foxglove

Legal name

Foxglove Technologies, Inc.

Website

https://foxglove.dev

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

51–100 employees

Short description

Foxglove provides a multimodal data platform for Physical AI and robotics companies, spanning visualization, data management, fleet operations, and ML training data curation. It serves AV, defense, logistics, and industrial robotics customers via freemium SaaS and enterprise deployments built on the open-source MCAP format.

Ownership category

akta.pro rank

Product category

Robotics Data Platform

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)

akta.pro secondary industries

Enterprise Foundation Model Integration & APIs (Connectors, Governance, Deployment) (HDAAACAO), Lakehouse Platforms (HDAEABAB)

Keywords

• Robotics data platform
• Multimodal data management
• Robot fleet operations
• Physical AI infrastructure
• Robot observability tools

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Platform Subscription (SaaS): Subscription-based access to Foxglove's multimodal data platform with tiered pricing based on storage and seat counts. Enterprise plans include additional features and support.
2. Free Basic Tier: Free Basic Seat tier enables platform access across teams and expands adoption. Converts users to paid Pro plans with additional capabilities.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels6 records

Core offering

Foxglove provides a multimodal data platform for Physical AI and robotics, enabling engineering and operations teams to capture, visualize, search, and curate robot data from prototype through production. Its core products are Visualization (panel-based workspace), Data Management (indexing and search of multimodal robot data), and Fleet (secure remote connectivity to deployed robots), underpinned by the MCAP open-source log format, a Python SDK, and a REST API.

Product overview

Foxglove is a multimodal data platform for Physical AI that provides a unified suite of products for the entire robot data lifecycle: from prototype to production. The core platform consists of Visualization (modular panel-based workspace for robot data), Data Management (system of record for multimodal robot data), and Fleet (remote robot connectivity). These are powered by MCAP, Foxglove's open-source log format, and supported by Integrations (SDK, API, webhooks), Extensibility (custom panels/scripts), and Security (SOC 2 compliance). The platform targets industries including automotive, defense & aerospace, logistics, manufacturing, agriculture, marine, and construction & mining.

Differentiator

Problem solved

Functional benefit

Products and services

• Foxglove Visualization Modular panel-based workspace for visualizing robot behavior including 3D scenes, camera images, plots, maps, diagnostic logs, and audio data with real-time and recorded data support, used by robotics engineering teams to debug, iterate, and validate autonomous systems.
• Foxglove Data Management System of record for ingesting, indexing, and searching multimodal robot data across robots and runs, with governance and petabyte-scale search, accessed via UI, API, or CLI; targets robotics engineering, ML, and operations teams.
• Foxglove Fleet Secure connectivity product that lets operators remotely connect to robots in the field, visualize live telemetry, send commands, and move recordings back into Foxglove for replay, analysis, and collaboration; deployed alongside the Foxglove Agent.
• MCAP File Format Open-source log format (Mission Container Archive Package) for fast recording and playback of multimodal robotics data, supporting ROS 1, ROS 2, Protobuf, FlatBuffers, JSON, and custom schemas; standardized container format for the robotics industry.
• Foxglove SDK Python client library for integrating Foxglove into robotics applications, providing APIs for data upload, device management, and recording access.
• Foxglove API REST API (v1) for programmatic management of robotics data including devices, recordings, sessions, events, topics, coverage, custom properties, lake files, sites, webhooks, extensions, and layouts, with API-key bearer authentication and rate limiting.
• Foxglove Agent Software agent installed on robots to send data directly to Foxglove with configurable retention periods for recordings, enabling the Fleet product's remote connectivity and live telemetry.
• Foxglove Enterprise Platform Enterprise subscription tier of the Foxglove platform offering SOC 2 Type II compliance, GDPR support, BYOS, Remote Data Loaders, dedicated support, and advanced administrative controls for large-scale Physical AI deployments.

Quantifiable outcome

• Dexterity saved hundreds of thousands of dollars using Foxglove
• +1 more outcomes

Named customers10 records

Segments4 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature6 records

Partnerships

One partnership is on record.

• ROS/ROS 2 EcosystemcoreTechnology or IntegrationFoxglove is a member of the ROS Technical Steering Committee and provides deep integration with ROS 1 and ROS 2 ecosystems. MCAP format is the default bag format for ROS 2.

Scale indicators4 records

Recent moves2 records

Expansion highlights6 records

Direct peers

• Scale AI: Scale AI provides data management, labeling, and evaluation infrastructure for ML and AI models, including autonomous systems. It is the closest comparable to Foxglove in serving ML/AI data infrastructure needs at enterprise scale.
• Encord: Encord offers a data platform for computer vision and multimodal AI, including data curation, annotation, and evaluation workflows. It competes with Foxglove in ML data management, particularly for vision-heavy Physical AI workloads.
• V7 Labs (V7): V7 provides a data labeling and management platform for computer vision and AI training datasets. It targets similar ML-data infrastructure use cases as Foxglove, with overlap in robotics, AV, and industrial AI customers.
• Roboflow: Roboflow offers a computer-vision data platform with open-source roots, supporting annotation, training, and deployment workflows. It is comparable to Foxglove as an open-source-rooted data platform targeting CV/ML developers.
• Labelbox: Labelbox provides a data labeling and management platform for ML teams across vision and other modalities. It competes with Foxglove in enterprise data infrastructure for AI/ML training pipelines.
• Weights & Biases: Weights & Biases is an ML platform for experiment tracking, model management, and observability. It is comparable to Foxglove as developer-focused ML infrastructure adopted at enterprise AI/robotics companies.
• Voxel51 (FiftyOne): Voxel51 builds FiftyOne, an open-source tool and platform for computer-vision data curation and evaluation. It is comparable to Foxglove in providing open-source-rooted CV data tooling with enterprise offerings.
• Arize AI: Arize AI provides observability and evaluation for ML and LLM applications in production. It overlaps with Foxglove's Fleet/observability capabilities for AI/robotics systems deployed at scale.

Broad incumbents

• Databricks: Databricks is a broad data and AI platform with lakehouse, ML, and governance capabilities. It is comparable to Foxglove's lakehouse-style data management (BYOS) and ML training data offerings, though at much larger scale and broader scope.

Emerging players

• WhyLabs: WhyLabs provides AI observability and data monitoring for ML models in production. It is an emerging adjacent player to Foxglove's Fleet observability product, focused on AI/ML model monitoring rather than robotics-specific data infrastructure.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/foxglove
• GitHubgithub.com/foxglove

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds4 records

Investors5 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Foxglove