Kintic — Real-world human activity data for humanoid robots | Kintic
Book a demoRequest Sample
Humanoid training data<br>Real-world human activity data for humanoid robot training
We collect the data your robots need to work in the real world.<br>Request Data Sample→See how it works<br>Georgia Tech CREATE-XNVIDIA Inception<br>Live<br>Collectors
Real homes<br>Environments
Research-ready<br>Delivery
REC ●FRAME 0120
REC●
Egocentric capture · annotated in the field
Scroll to sharpen scene
+Egocentric RGB+Chest-mounted capture+Hand keypoints+Activity labels+Scene context+Task boundaries+Consent-verified+Real homes+Real kitchens+Real workplaces+Research-ready delivery<br>+Egocentric RGB+Chest-mounted capture+Hand keypoints+Activity labels+Scene context+Task boundaries+Consent-verified+Real homes+Real kitchens+Real workplaces+Research-ready delivery
The problem<br>Lab data fails in the real world
Humanoid robots fail in the real world because their training data comes from controlled lab environments. Lab datasets are narrow, repetitive, and lack the diversity of actual human spaces. A robot trained in one kitchen fails in another. The data gap is the #1 bottleneck in humanoid training today.
The solution<br>Kintic operates a scalable human data collection network across the Southeast US, deploying collectors in real homes and workplaces to capture egocentric video of human activity.
Real environments · egocentric capture
Why Kintic
01Real Environments<br>Homes, kitchens, and workplaces — not lab setups. Every space captures the diversity your humanoid needs to generalize.
02Scalable Collection<br>A deployed human collector network across the Southeast US. Scale data volume without scaling your internal ops team.
03Research Grade Quality<br>Consent-verified, richly annotated datasets delivered research-ready to humanoid robotics labs.
Pipeline<br>How it works<br>Scroll to walk through Collect → Annotate → Deliver.
01Collect
Collectors wearing chest-mounted cameras capture egocentric footage of cooking, cleaning, organizing, and everyday tasks in real environments.
02Annotate
Every dataset is consent-verified and richly annotated — activity labels, scene context, and task boundaries your models can train on immediately.
03Deliver
Research-ready delivery to humanoid robotics labs. No cleanup pipeline on your side — start training on real-world diversity from day one.
Collectors wearing chest-mounted cameras capture egocentric footage of cooking, cleaning, organizing, and everyday tasks in real environments.
Built for<br>Humanoid robotics companies and research labs that need diverse, real-world training data to deploy in actual human environments.<br>Humanoid robotics companiesRobot learning labsFoundation model teamsManipulation research groups
Ready for real-world training data?<br>Request a sample dataset or book a call with our team.<br>Request Data Sample→