
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
| Company |
|---|
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”
At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. The success of any AI application today relies on the quality of a model's training data, which is often the most costly and time-consuming step in getting products to market.
As ex-computer scientists, physicists, and quants, we experienced firsthand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today resembles the early days of computing or the internet, where the potential of the technology is clear, but the tools and processes are still primitive. This is why we started Encord.
We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator. Our team includes 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 consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a rockstar Machine Learning Solutions Engineer to join us in building our Product team.
Job Title: Solutions Engineer
Location: London
Employment Type: Full-time
Department: Product
Work Model: Hybrid
Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will explore and build services for enterprise AI use cases across various industry verticals such as healthcare, surveillance, retail, and agriculture. Our work is at the cutting edge of computer vision and deep learning, including solving unsolved problems within those fields.