Multimodal AI training data for labs
We collect research-grade data from real homes and environments — ready for the teams building the next generation of models.
Georgia Tech CREATE-X
NVIDIA InceptionLive
Collectors
Real homes
Environments
Real people
Capture
Egocentric view
Exocentric view
Multimodal data
Audio data
The problem
Lab data fails in the real world
Models trained only in controlled environments break when they meet real homes, kitchens, and workplaces. Lab datasets are narrow, repetitive, and miss the diversity of actual human spaces. The data gap is the #1 bottleneck for labs shipping real-world systems today.
The solution
Kintic operates a scalable human data collection network across the world, deploying collectors in real homes and workplaces to capture egocentric video of human activity.
Real environments · egocentric capture
Pipeline
How it works
Scroll to walk through Collect → Annotate → Deliver.
Collectors wearing chest-mounted cameras capture egocentric footage of cooking, cleaning, organizing, and everyday tasks in real environments.
Built for
Research labs and AI teams that need diverse, real-world training data — not another lab-only corpus.