The real physical world, captured for your models.
Data from real industry sites, plus real-world testing.
- Human skill and design workflows
- 3D spaces, objects and quality images
- Robot corrections and production data
- Real-world testing on real tasks
Fieldline captures real-world data for physical AI, from factory floors to finished products, and helps businesses put robots to work.
Robots learn in labs. Work happens on floors.
A shirt sleeve, a hotel bed, a busy kitchen line: real work is messy, varied and fast. Robots fail where their training ends. We bring them to where the work is.
We sit between the companies building physical AI and the businesses where robots must do real work.
Data from real industry sites, plus real-world testing.
Find where robots pay off, choose the right partners, and make it work on your floor.
Every slip becomes a lesson. The loop runs until the robot meets real production standards.
Skilled workers perform the task, recorded in detail.
The robot attempts it on a real floor.
When it slips, our operator takes over and shows it the right way.
We test it against real production standards.
Physical AI needs far more than videos of people working. One site visit can yield several of these.
First-person video, hand movement and experts narrating their work.
Experts working in CAD and design software, every click recorded.
Labelled images of real defects, graded by the site's own inspectors.
Scans and digital twins of factory lines, kitchens and hotel rooms.
Overhead footage of how people, materials and machines move.
3D scans of real items with weight and material.
Operation sequences, cycle times, defect logs and machine readings.
Remote-control demonstrations, corrections and test results.
Train · by skill
Deploy · by site
Working factories, kitchens and hotels, not staged sets.
People who know the work judge what "done right" means.
No house robot to push, and any partner fees disclosed.
Building robots or AI that need real-world data, or exploring automation for your operation? Tell us what you're working on.