Encord
Encord is the multimodal data layer for physical AI, providing infrastructure to manage, curate, and annotate data for robotics, drones, and autonomous systems.
At a Glance
- Enterprise AI Teams
- Robotics Startups
- Autonomous System Manufacturers
- Healthcare Research Organizations
AI Tools by Encord
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Encord
AI Data Labeling Platform
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Latest News
Encord Announces $60 Million Series C Funding led by Wellington Management
Introducing the Encord Agents Catalog: Deploy AI Agents in Minutes
Launch of Physical AI Suite with LiDAR and 3D support
Encord Secures $30M in Series B Funding to Invest in Multimodal AI
Products & Services
A powerful data annotation platform with AI-assisted labeling for image and video data.
A data management and curation tool to browse, search, and manage massive datasets.
An active learning and model evaluation platform to help teams identify edge cases and improve model performance.
Specialized suite for physical AI applications including support for LiDAR, 3D point clouds, and multimodal sensor data.
Market Position
Positions itself as the 'data layer for physical AI', directly competing with Scale AI by specializing in video-first and multimodal data infrastructure.
Leadership
Founders
Eric Landau
Co-founder & CEO of Encord. Previously a lead quantitative researcher and trader at DRW in London. Holds a Master's degree in Applied Physics from Harvard University.
Ulrik Stig Hansen
Co-founder & President of Encord. Previously a Vice President at J.P. Morgan in London focusing on global markets. Holds a Master's degree in Economics from the University of Copenhagen.
Nick Gillian
Founder & Head of AI. Previously Lead Machine Learning Engineer at Facebook (Oculus) and worked on Project Soli at Google. Holds a Ph.D. from MIT.
Executive Team
Eric Landau
Co-founder & CEO
Former lead quant researcher at DRW; Harvard Applied Physics.
Ulrik Stig Hansen
Co-founder & President
Former VP at J.P. Morgan; Economics background.
Board of Directors
Founding Story
Eric Landau (a quant trader) and Ulrik Stig Hansen (an investment banker) met in London and realized that the primary bottleneck in AI development was not the models, but the data—especially for complex multimodal and video data required for 'physical' AI applications like robotics.
Business Model
Revenue Model
Tiered SaaS subscription model (Starter, Team, Enterprise). Enterprise features include custom SLAs, SSO, and VPC/on-prem deployments.
Pricing Tiers
For individuals and small teams building prototypes.
For teams building and scaling multiple AI applications.
For companies shipping multiple AI applications across teams with advanced security/SLA needs.
Target Markets
- Enterprise AI Teams
- Robotics Startups
- Autonomous System Manufacturers
- Healthcare Research Organizations
- Autonomous Vehicles
- Robotics (warehouse, surgical)
- Drones (agriculture, inspection)
- Medical Imaging (ultrasound, DICOM)
- Sports Analytics
- Retail Intelligence
- Toyota
- Zipline
- Skydio
- Maxar