Real-world data from the environments where your AI must perform.
Physical AI needs data from warehouses, factories, farms, retail stores, roads, facilities, and messy real-world operating conditions. The Field Data Capture Network is how Datafy Lab designs and runs that capture — with consent, metadata, QA, and delivery standards across every program.
Four ways we capture the real world.
Egocentric Video Data
First-person human POV datasets for imitation learning, embodied AI, and humanoid task learning.
View capability →Edge-Case Dataset Creation
Targeted capture for the rare, hard-to-get scenarios that sit in the long tail.
View capability →Site-Based Data Collection
On-site collection inside warehouses, factories, retail, farms, roads, and facilities.
View capability →Human Task Demonstration
Step-by-step human workflows, hand-object interactions, and tool usage for imitation learning.
View capability →Consent, metadata, QA, delivery.
Every capture program runs on documented standards so the data is usable, defensible, and training-ready — not just footage on a drive.