Facts

• Segment: Data Infrastructure
• Country: United Kingdom
• Website: https://encord.com

Profile sections

• Summary
• Market context
• Facts
• Funding
• Investors
• Context / Market Position
• Events
• Team
• Context tags
• Sources

Summary

Encord develops data infrastructure for computer vision, robotics and multimodal AI teams. Its platform supports annotation, curation and evaluation across images, video, lidar, depth and force-torque data for perception, manipulation and embodied-AI workflows.

Market context

Physical AI scaling is increasingly bottlenecked by data readiness (multimodal ingestion, curation, annotation, evaluation, and traceability). Encord positions itself as the "data layer" enabling production deployments across robotics, drones, and autonomous vehicles. AI-native data infrastructure (universal data layer); no proprietary robot or vehicle hardware.

• Capability: Multimodal dataset management (video, LiDAR, telemetry) Annotation and post-training alignment workflows Data curation, filtering, and traceability at scale
• Strategic position: Positioned in infrastructure (AI / development)
• Strategic position: data layer for physical AI
• Strategic position: production deployments across robotics, drones, and autonomous vehicles

Facts

• Website: https://encord.com
• HQ: London, United Kingdom
• Segment: Data Infrastructure
• Known funding rounds: 2

Funding

• 2026-02-26 - Series C - $60M - Encord raises $60M Series C to scale AI-native data infrastructure for physical AI - source: prnewswire.com
• 2024-08-01 - Series B - $30M - Encord raises USD 30M Series B for AI data annotation platform - source: encord.com

Investors

• Bright Pixel Capital - Participant - Vc - 1 funding event - first seen 2026-02-26
• Crane Venture Partners - Participant - Vc - 1 funding event - first seen 2026-02-26
• CRV - Participant - Unknown - 1 funding event - first seen 2026-02-26
• Harpoon Ventures - Participant - Vc - 1 funding event - first seen 2026-02-26
• Isomer Capital - Participant - Vc - 1 funding event - first seen 2026-02-26
• N47 - Participant - Unknown - 1 funding event - first seen 2026-02-26
• Wellington Management - Lead - Angel / Individual - 1 funding event - first seen 2026-02-26
• Y Combinator - Participant - Unknown - 1 funding event - first seen 2026-02-26

Physical AI data infrastructure for robotics and autonomy

Encord provides a data layer for multimodal physical-AI datasets, including video, LiDAR and telemetry used in robotics, drones and autonomous vehicles.

• Target environment: UAV programs, drone operations, aerial inspection, defence or civil unmanned-aircraft missions and supporting autonomy stacks.
• Deployment model: Software infrastructure model for AI and robotics teams managing complex real-world datasets.
• Customer context: Robotics teams, drone developers, autonomous vehicle groups, AI labs and companies building real-world AI systems.
• Workflow context: Dataset ingestion, annotation, quality review, model evaluation, multimodal data curation and physical-AI workflow support.
• Commercial maturity: Data infrastructure company addressing multimodal ingestion, curation, annotation, evaluation and traceability for physical AI. Scaling depends on customer adoption, data quality and workflow fit.
• Market position: Data infrastructure company for robotics, autonomy and other real-world AI systems.
• Adoption constraints: Adoption depends on data quality, workflow integration, privacy, labeling accuracy, tool reliability and measurable improvement in model development.
• Adjacent context: UAVs, drones, payloads, propulsion, aerial autonomy, mission software, ISR, inspection and unmanned aircraft operations.
• Source confidence: medium

Events

• 2026-02-26 - Funding - Encord raises $60M Series C to scale AI-native data infrastructure for physical AI - Series C round; funding to scale AI-native data infrastructure for physical AI
• 2024-08-01 - Funding - Encord raises USD 30M Series B for AI data annotation platform - The financing supported data curation, annotation and model evaluation tools.

Team

• Ulrik Stig Hansen - Co-Founder and Co-CEO - Founder row explains Encord's role as data infrastructure for robotics, autonomous vehicles and physical AI teams.
• Eric Landau - Co-Founder and CEO - Adds founder context for Encord's role in curating, managing and aligning data for humanoids, autonomous vehicles and other robotics-adjacent AI systems.

Context tags

• Robot model supply chain - Customer Environment
• Robotics data infrastructure layer - Stack Layer
• Physical AI data infrastructure - Stack Layer
• Multimodal robotics data labeling - Workflow