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| Type | Private |
|---|---|
| Industry | |
| Founded | 2021 |
Number of locations | |
Key people |
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| Website | encord |
Encord is a British–American technology company that develops data infrastructure software for artificial intelligence. Its platform is used to manage, curate, annotate, and evaluate multimodal data, including images, video, audio, text, and LiDAR point clouds for artificial intelligence model development.[1][2][3][4][5]
The company's tools are used in physical AI applications such as robotics[6], autonomous vehicles, and drones.[7]
History
[edit]Encord was founded in 2021 by Eric Landau and Ulrik Stig Hansen.[8] The company participated in Y Combinator's Winter 2021 batch, where the first version of its product was launched.[9] Its early products focused on data labelling for computer vision, particularly annotating medical images in healthcare.[10][1] The company is dual-headquartered in San Francisco and London.[9]
In June 2021, Encord raised US$4.5 million seed round led by CRV.[11][12] By April 2022, the company had raised US$17.1 million in combined seed and Series A funding.[10] In August 2024, Encord raised US$30 million in a Series B round led by Next47, with participation from CRV, Crane Venture Partners, and Y Combinator.[9][13]
In 2025, Encord released its LiDAR annotation product for robotics and autonomous driving applications.[14] In October 2025, the company released E-MM1, an open-source multimodal dataset that it described as the largest of its kind.[14] In November 2025, it released EBIND, a multimodal embedding model built on E-MM1 that retrieves information across audio, video, text, images, and LiDAR point clouds, using any one modality as input.[14]
In February 2026, Encord announced a US$60 million Series C funding round led by Wellington Management, bringing the company's total capital raised to US$110 million.[15][8][16] Other investors included Y Combinator, CRV, Bright Pixel Capital, and Isomer Capital, among others.[17]
Physical AI data operations
[edit]Encord generates and sells data on human and robotic movement to companies developing humanoid robots.[2] At a test facility in Hayward, California, operators use control rigs to guide robotic arms through tasks such as pouring liquids and sorting objects, capturing training data for robot motor skills.[2] The company has said it plans to open a teleoperations centre at the facility to allow remote operation of deployed robots.[2]
Customers
[edit]As of 2026, Encord reported working with more than 300 AI teams globally in sectors including autonomous vehicles, robotics, healthcare, and defence.[15] It's customers include Woven by Toyota, Toyota Research Institute, Zipline, AXA, Northwell Health and Skydio.[9][7][8]
See also
[edit]References
[edit]- ^ a b Jawed, Kochai Jan; Buchanan, Ian; Cleary, Kevin; Fischer, Elizabeth; Mun, Aaron; Gowda, Nishanth; Naeem, Arhum; Yilmaz, Recai; Donoho, Daniel A. (2024-10-01). "A microdiscectomy surgical video annotation framework for supervised machine learning applications". International Journal of Computer Assisted Radiology and Surgery. 19 (10): 1947–1952. doi:10.1007/s11548-024-03203-1. ISSN 1861-6429. PMID 39028480.
- ^ a b c d Christopher, Nilesh (2026-05-31). "Silicon Valley's humanoid robots are learning how to do your job — in the kitchen". Los Angeles Times. Retrieved 2026-06-23.
- ^ Leckie, Jon (2026-03-10). "Venture Investment in Physical AI Surges". Wall Street Journal. ISSN 0099-9660. Retrieved 2026-06-23.
- ^ Kerner, Sean Michael (2025-10-17). "World's largest open-source multimodal dataset delivers 17x training efficiency, unlocking enterprise AI that connects documents, audio and video". Venturebeat. Retrieved 2026-06-23.
- ^ Masson-Forsythe, Margaux (2024-03-29). Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning. Packt Publishing Ltd. pp. 108–114. ISBN 978-1-83546-268-3.
- ^ Fernholz, Tim (2026-07-27). "Are brain waves the next unlock for physical AI?". TechCrunch. Retrieved 2026-08-01.
- ^ a b Wheatley, Mike (2026-02-26). "Physical AI data infrastructure startup Encord lands $60M to accelerate intelligent robot and drone development". SiliconANGLE. Retrieved 2026-06-23.
- ^ a b c Garcia, David Cendon (2026-02-27). "London-based Encord raises €50 million to support next phase of physical AI deployment". EU-Startups. Retrieved 2026-06-23.
- ^ a b c d Wiggers, Kyle (13 August 2024). "Encord lands new cash to grow its data labeling tools for AI". TechCrunch. Retrieved 23 June 2026.
- ^ a b Betuel, Emma (2022-04-08). "A newcomer to AI data labeling, Encord looks to ride a rising tidal wave". TechCrunch. Retrieved 2026-06-23.
- ^ Wiggers, Kyle (2021-06-15). "Cord raises $4.5M to automate computer vision annotation processes". VentureBeat. Retrieved 2026-06-23.
- ^ Svendsen, Stine Tiberg (2021-06-09). "Entrepreneurs Founded a Startup Over a Beer at a Local Pub – One Year Later They Receive Millions from a Silicon Valley Venture Fund". borsen.dk (in Danish). Retrieved 2026-06-23.
- ^ Wheatley, Mike (2024-08-13). "AI data development platform startup Encord raises $30M". SiliconANGLE. Retrieved 2026-06-23.
- ^ a b c Demaitre, Eugene (2025-11-19). "Encord releases EBIND multimodal embedding model for AI agents". The Robot Report. Retrieved 2026-06-23.
- ^ a b Stanciuc, Ana-Maria (2026-02-27). "Encord raises €50M to build the data layer for physical AI". The Next Web. Retrieved 2026-06-23.
- ^ Drew, Rocket (2026-02-26). "A Robot Data Startup Raises $60 Million". The Information. Retrieved 2026-06-23.
- ^ Chowdhry, Amit (2026-02-27). "Encord: $60 Million Series C Raised To Scale AI-Native Data Infrastructure". Pulse 2.0. Retrieved 2026-06-23.