Encord
Category: Computer Vision
AI-native data infrastructure platform for physical and multimodal AI that enables teams to label, curate, manage, and evaluate training data at petabyte scale across video, image, LiDAR, 3D point cloud, DICOM, audio, and text modalities. Encord was founded in 2020. The company is led by Eric Landau. Based in London, United Kingdom. Team size: 146. Total funding raised: $110.0M. Latest round: Series C ($60.0M, Feb 2026). Key investors include ["Wellington Management","Next47","CRV","Y Combinator","Crane Venture Partners","Harpoon Ventures","Bright Pixel Capital","Isomer Capital"].
- Founded
- 2020
- Headquarters
- London, United Kingdom
- Team size
- 146
- Total funding
- $110.0M
Value proposition
Provides a unified data layer that eliminates tool fragmentation by integrating data curation, annotation, and model evaluation workflows, enabling teams to build and deploy AI models faster with AI-assisted labeling, human-in-the-loop workflows, and petabyte-scale data management capabilities.
Products and solutions
["Encord Annotate (Multimodal Data Labeling Platform)","Encord Index (Data Curation & Management System)","Encord Active (Model Evaluation & Testing)","Physical AI Suite (Robotics, AV, Drone Development)","RLHF & Model Alignment Tools","EBIND Multimodal Embedding Model (Open Source)"]
Unique value
Only platform combining native video annotation, 3D LiDAR/point cloud support, and synchronized multi-sensor data visualization in a unified environment. Launched world's largest open-source multimodal dataset (100x larger than next comparable) and developed EBind methodology enabling 1.8B parameter models to outperform models 17x larger. API/SDK-first architecture with zero data migration.
Target customer
AI teams building physical AI systems (robotics, autonomous vehicles, drones), computer vision teams, medical imaging/healthcare AI teams, enterprise AI organizations, and frontier AI developers requiring multimodal data infrastructure
Industries served
["Robotics & Humanoids","Autonomous Vehicles & ADAS","Drones & Aerial Systems","Healthcare & Medical Imaging","Smart Spaces (Retail, Construction, Warehouses)","Geospatial & Satellite Imagery","Computer Vision","Frontier & Generative AI","Manufacturing & Logistics"]
Technology advantage
Combines AI-assisted annotation, model-assisted labeling, and automated data curation with human-in-the-loop workflows at petabyte scale. Proprietary multimodal embedding technology enables efficient model training on single GPUs vs. massive compute clusters. Supports complex nested ontologies and synchronized multi-file analysis across 10+ data modalities including video, LiDAR, thermal, and DICOM. Platform detects model accuracy issues and automatically suggests additional training data to rectify problems.
How they differentiate
Unified AI-native data infrastructure platform specializing in physical AI (robotics, drones, autonomous vehicles) with native video annotation, 3D LiDAR/point cloud support, and synchronized multi-sensor visualization at petabyte scale. Only platform combining world's largest open-source multimodal dataset (100x larger than competitors) with proprietary EBind methodology enabling smaller models to outperform much larger ones.
Main competitors
["Scale AI","Labelbox","V7 Labs"]
Key partnerships
["Toyota (autonomous vehicles)","Zipline (drone delivery systems)","Synthesia (AI video generation)","AXA Financial (insurance AI)","Northwell Health (healthcare AI)","Y Combinator (YC W21 batch)","Wellington Management (Series C lead investor)","AWS cloud integration partnerships"]
Notable customers
["Woven by Toyota","Zipline","Skydio","Synthesia","AXA Financial","Northwell Health","Philips","Cedars-Sinai","Flock Safety","UiPath"]
Major milestones
["Series C funding of $60M led by Wellington Management (Feb 2026)","Series B funding of $30M led by Next47 (Aug 2024)","Launched world's largest open-source multimodal dataset (Oct 2025)","Released EBind multimodal embedding model for AI agents (Nov 2025)","Achieved $550M post-money valuation in Series C","Ranked 13th on Sifted AI 100 list of European AI startups (2024)"]
Growth metrics
Physical AI revenue grew 10x in last 12 months; Platform data scaled from 1 to 5+ petabytes over past year; 300+ AI teams served globally; $10.5M-$12.8M revenue in 2024 with 4x year-over-year growth
Market positioning
Premium enterprise platform for physical AI applications, serving 300+ leading AI teams globally with 5+ petabytes of data managed. Positioned as comprehensive data layer spanning annotation, curation, management, and model evaluation across the full AI lifecycle.
Geographic focus
Global presence with headquarters in London, UK and operations in San Francisco, California. Primary markets include North America, Europe, and Asia-Pacific regions serving autonomous vehicles, robotics, healthcare AI, and smart spaces industries.
Patents and IP
No registered patents publicly disclosed as of latest update; competitive advantages primarily through proprietary technology stack, methodologies (EBind), and open-source dataset contributions
About Eric Landau
Co-CEO & Co-Founder of Encord. Previously spent nearly 8 years at DRW Trading as Lead Quantitative Researcher on a global equity delta-one desk, deploying thousands of models into production. Holds SM in Applied Physics from Harvard University and MS in Electrical Engineering & BS in Physics from Stanford University.
Official website: https://encord.com/