Built for how physical AI is deployed
Multimodal from the ground up
Native support for video, audio, text, LiDAR, RGB-D, sensor fusion, and geospatial data. Designed for the data types physical Al systems actually produce.
Data quality before training
Embedding-based curation, label QA, and lineage tracking catch errors and edge cases before they compound.
Automate your data pipeline through API and SDK
Integrate Encord into your CI/CD, trigger labeling jobs programmatically, and version everything.
Annotation to alignment, in one platform
RLHF, rubric-based evaluation, and pairwise comparison alongside labeling workflows. No second tool. No handoff.
Data services
Don't have the workforce to collect or label at scale? Encord covers end-to-end collection, annotation, and evaluation - same platform, same quality controls.
