Find, refine, and source robotics data without rebuilding the data layer from scratch.
Buyer-side workflows are the core of HumanoidLayer: searchable catalog discovery, licensing clarity, access requests, enrichment pilots, format normalization, and custom collection briefs.
Discover curated open datasets
Find relevant data by task, embodiment, modality, environment, license, and format.
Review license posture
Screen commercial suitability, attribution requirements, non-commercial flags, and subset risks.
Request enrichment
Add object labels, action labels, temporal segmentation, instruction fields, QA, and metadata.
Receive structured packs
Move from scattered links to dataset cards, manifests, and buyer-preferred formats.
Launch collection pilots
Scope task-specific real-world collection when open data cannot cover the target workflow.
Compare datasets
Evaluate scale, source, environment, sensors, data shape, and enrichment opportunity side by side.
Commercial data use needs license context.
HumanoidLayer does not treat every open dataset as automatically cleared. Buyer workflows preserve attribution, subset restrictions, link-only states, and non-commercial flags so teams can make better procurement decisions.