Authentic Data
for Physical AI

Infinite tasks for general purposes
Great lab demos, but sharp drop on unseen operation
High CAPEX & OPEX with compliance risks
Recruiting, training, and retaining skilled operators and annotators at scale
Inconsistency throughout the whole pipeline
Misaligned sensors, drifting intrinsics/extrinsics, label drift
Rights, privacy, residency friction
Unclear ownership/derivative rights
Data collection
Various hardware interfaces to record every motion, visual frame, and force profile
Labeling & Annotation
AI-assisted labeling tools, 3D trajectory visualizers, and semantic segmentation systems ensure high-quality annotation
Evaluation & Curation
How Abundance turns chaos into clarity
Real Data,
Real Factories,
Real Physical AI.
Discover how Abundance enables you
to prepare the right datasets for your purpose.











