
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 focused on building the infrastructure necessary to enhance the quality of training data for machine learning systems. Our platform efficiently handles the indexing, curation, and annotation of large datasets, enabling customers to build datasets, train models, and deploy AI systems effectively.
As AI models evolve, they can tackle increasingly complex tasks, creating significant economic value when guided by human feedback. Expertly annotated data is crucial for this process, and Encord is strategically positioned to capitalize on a rapidly growing market.
We are an ambitious team of over 80 professionals, backed by $30M in Series B funding from top investors like CRV and Y Combinator. With plans for rapid expansion, we aim to grow our Engineering team significantly this year.
Senior Software Engineer (Infrastructure) London Full-time Engineering Hybrid
Encord presents a unique opportunity to be part of a startup with a clear mission in AI alignment, partnering with leading AI labs and major companies. If you're interested in working at the forefront of AI technology, we encourage you to get in touch.