
Encord is the multimodal data management platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, and DICOM files on one unified platform while benefiting from AI-assisted speed and accuracy with human-in-the-loop workflows. Enrich petabytes of raw unstructured data into high-fidelity data for training, fine-tuning, and aligning AI models quickly and at scale. Encord is trusted by pioneering AI teams at Synthesia, Captions AI, Tractable, Stanford Medicine, Flock Safety, Protex AI, Zoopla, Philips, and many more global companies. Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.

Encord is the multimodal data management platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, and DICOM files on one unified platform while benefiting from AI-assisted speed and accuracy with human-in-the-loop workflows. Enrich petabytes of raw unstructured data into high-fidelity data for training, fine-tuning, and aligning AI models quickly and at scale. Encord is trusted by pioneering AI teams at Synthesia, Captions AI, Tractable, Stanford Medicine, Flock Safety, Protex AI, Zoopla, Philips, and many more global companies. Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.
What they do: Multimodal data management and annotation platform for AI (images, video, audio, text, DICOM, LiDAR)
Founded: 2020
Headcount (approx.): 146
Total disclosed funding: ≈ $47.15M (USD)
Compliance: SOC 2, HIPAA, GDPR
Data curation and annotation for multimodal AI training and model evaluation
2020
Software Development
30000000
Announced to bring total disclosed funding to approximately $50M
17100000
Prior rounds reported totaling roughly $17.1M before Series B
“Backed by investors including Next47, Y Combinator, CRV, Crane Venture Partners, and Harpoon”
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Encord is building the AI infrastructure of the future. Soon, every big company will be an AI company, and they will need to build, curate, annotate, and understand big datasets to train their models. Encord helps them do this. The success of any AI application today is driven by the quality of the training data and evaluation sets used. In most cases, creating high-quality datasets is the most costly and time-consuming part of getting a product to market.
Encord is a team of AI researchers, computer scientists, physicists, and quants, who felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. It is still early for AI. The potential of the technology is clear, but the tools and processes surrounding it are still primitive. This is why we started Encord.
We are a talented and ambitious team of 75+, working at the cutting edge of multimodal and embodied AI, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one of the fastest-growing companies in our space and are consistently rated as the best product in the market by our customers. We have big plans ahead and are looking for our Engineering Manager to join us in building our team.
Job Title: Engineering Manager
Location: London
Employment Type: Full-time
Department: Engineering
Our work is at the intersection of cutting-edge AI use cases and the engineering challenges that come with handling massive scale. Encord offers a rare opportunity to be part of a startup with a clear mission and vision, and with exceptional product-market fit. You will get to explore and build enterprise AI use cases across many different industry verticals such as healthcare, robotics, agentic generative AI, and many more.