About Encord
Encord is a commercial platform that manages the data behind AI models, from collection and curation to annotation and evaluation. The vendor describes it as a multimodal data layer for physical AI and enterprise teams, covering sensor streams, video, audio and text in one place.
Annotation supports video, LiDAR, audio, text and sensor fusion within a single workflow, with label lineage and quality controls. Curation uses embedding-based search and model-in-the-loop selection to find rare edge cases and gaps in a dataset. An alignment area covers RLHF orchestration, rubric-based evaluation and pairwise comparison, so teams can find where a model fails and feed that back into training.
Encord also offers data as a service, supplying vetted expert annotators and managed collection pipelines that connect to the platform. It is a hosted commercial product with a public pricing page and a book-a-demo flow, and it advertises native agent integrations.
Key features
- Video, LiDAR, audio and text annotation
- Sensor fusion labeling in one workflow
- Embedding-based search for edge cases
- Model-in-the-loop data curation
- RLHF and rubric-based evaluation tools
- Expert annotators through data as a service
Good fit for
- →Robotics teams curating sensor data
- →Labs aligning models with human feedback
- →Teams managing large video datasets
- Tags
- data-annotation
- multimodal
- data-curation
- physical-ai
- rlhf
- model-evaluation
- ai-infrastructure
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