✦ Physical AI · Egocentric Data
Teaching robots from real human work.
Centauri Labs turns real work from skilled people into structured egocentric datasets for physical AI.
MULTI-CAMERA RGB·MOTION METADATA·QA REVIEWED
01 The Problem
Robots need real-world work data.
Physical AI cannot learn skilled manipulation from web videos alone. Robots need structured demonstrations of people using tools, handling materials, correcting mistakes, and completing tasks in real environments.
02 What We Do
We turn human work into robot training data.
Capture real work
Workers perform real tasks while wearing egocentric capture devices.
Process the data
We validate quality, remove sensitive content, and add task metadata.
Deliver datasets
Buyers receive structured data for training, evaluation, and model development.
03 Data Quality
Built for usable data, not just collected footage.
Every session ships with the structure buyers need to train, evaluate, and audit.
04 Use Cases
Starting with skilled hand work.
Textile & garment
Seam alignment, feed control, and stitch corrections at the machine.
Cooking & food prep
Knife work, station prep, and handling ingredients that deform and vary.
Assembly
Fitting parts, fastening in sequence, and recognizing when something is seated right.
Inspection
Checking defects, quality issues, and task outcomes in real work environments.
Craft & repair
Tool use, fine motor control, rework, and skilled hand correction.
Packaging & sorting
Folding, packing, arranging, sorting, and preparing items for the next step.
Need a custom task?
Request a sample dataset05 Trust
Consent based from the start.
Every dataset is linked to worker consent, site authorization, QA status, privacy review, and export permissions. Raw data is processed locally first, then delivered through controlled buyer agreements.
Need real-world data for physical AI?
Tell us the tasks you need. We can collect custom egocentric datasets from real work environments.
Request a sample dataset