Encord
About
About Encord
Encord provides the data pipeline between raw robot logs and trainable perception or control models. It ingests time-aligned camera, depth, LiDAR, radar, IMU, force-torque and joint-state streams, preserving temporal context so teams can label action phases, contact events, trajectories and 3D objects against a shared ontology.
Annotation tools cover images, native video, point clouds, audio and text, with model-assisted segmentation, object tracking, workflow routing and human review. Active learning surfaces unusual or low-confidence samples for curation, and deployment failures can be routed back into new training sets. The platform supports cloud-resident data through APIs and handles MCAP and ROSBAG formats for robotics, autonomous vehicles, drones and vision-language-action development.
Articles
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
Encord raised USD 30 million in Series B funding for multimodal AI data development infrastructure. - 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
Team
- Ulrik Stig Hansen - Co-Founder and Co-CEO
- Eric Landau - Co-Founder and CEO - Leads Encord's multimodal AI data platform, including data curation and annotation workflows for robotics and physical AI.
Research
- Encord launches Data Labs with EMG-1 and Encord-REACH
2026-10-20 - Research Publication - EMG-1 contains 307 hours of field clip-time with wrist EMG and synchronized egocentric video, plus a separate 10.4-hour laboratory collection with optical motion capture. Wearable Devices supplied Mudra Pro technology for field capture and Mudra Ultimate for the laboratory collection. Encord reports about 25% lower fingertip tracking error from EMG-video fusion in its tests; dataset access is advertised through registration.
Source
Timeline
Events
- 2026-10-21 - Product Launch - CoreWeave launches Physical AI Launchables for robotics and AV development
Launch templates support Isaac Sim, CARLA, MuJoCo, AlpaSim and Cosmos 3, with blank configurations for custom workloads. Cosmos Data Factory skills support augmentation, labeling, curation and retrieval across video, images and text. Templates include resource controls and coding-agent skills for launching runs, monitoring execution and retrieving results.
Source - 2026-10-20 - Research Publication - Encord launches Data Labs with EMG-1 and Encord-REACH
EMG-1 contains 307 hours of field clip-time with wrist EMG and synchronized egocentric video, plus a separate 10.4-hour laboratory collection with optical motion capture. Wearable Devices supplied Mudra Pro technology for field capture and Mudra Ultimate for the laboratory collection. Encord reports about 25% lower fingertip tracking error from EMG-video fusion in its tests; dataset access is advertised through registration.
Source - 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 Investors: Wellington Management, Y Combinator, CRV, N47, Crane Venture Partners, Harpoon Ventures, Bright Pixel Capital, Isomer Capital Y Combinator, CRV, N47, Crane Venture Partners, Harpoon Ventures participated as existing investors
Source - 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. Encord serves physical AI and computer vision teams working with video, images, sensor data and 3D point clouds. The capital supports robot sensing, actuation, compute or communications systems as Encord moves toward broader commercial use.
Source
Relations
Relationships
- Wearable Devices
Technology Partner - Encord and Wearable Devices collaborated on EMG-1, pairing wrist muscle signals with egocentric video for robotics data research.
- CoreWeave
Partner - CoreWeave and Encord combine cloud compute with multimodal data-platform workflows for Physical AI development.
Context
Comparable profiles
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- Xspark AI
stack adjacency - Physical AI Data Infrastructure · Robotics Data Infrastructure Layer
Shared workflows
- TwelveLabs
workflow adjacency - Multimodal Robotics Data Labeling
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