Encord
The data infrastructure layer for Physical AI and Enterprise teams — multimodal by design
Paid·Technical·API available
Key strengths
Multimodal data annotation across video, image, LiDAR, audio, text, and geospatialEnd-to-end data pipeline from collection and curation to post-training alignmentEmbedding-based search and model-in-the-loop curation for edge case discoveryNative support for Physical AI use cases including robotics, AVs, and dronesAPI/SDK-first architecture with zero data migration — data stays in your cloud
Paid only
San Francisco, USA
Founded 2021
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Encord is an API/SDK-first data infrastructure platform that covers pre- and post-training workflows for multimodal AI. It offers native support for video annotation, sensor fusion (LiDAR + camera + radar), 3D scene visualization, and DICOM/NIfTI medical formats. Its curation engine uses embedding-based search and model-in-the-loop pipelines to surface rare edge cases and close distribution gaps. The platform integrates RLHF, rubric-based evaluation, and pairwise comparison to close the loop between production model failures and retraining data pipelines.