Applied robotics · Real-world data for physical AI

Train it on real work.
Put it to real work.

Fieldline captures real-world data for physical AI, from factory floors to finished products, and helps businesses put robots to work.

[01] The gap

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.

[02] What we do

Two practices. One loop between them.

We sit between the companies building physical AI and the businesses where robots must do real work.

02 — Fieldline DeployFor operators

Your robotics deployment partner.

Find where robots pay off, choose the right partners, and make it work on your floor.

  • Floor walk and business case
  • Vendor-neutral robot selection
  • Pilot management
  • Scale and track performance
Explore Deploy →
[03] The loop

Show. Try. Correct. Repeat.

Every slip becomes a lesson. The loop runs until the robot meets real production standards.

CORRECTION → RETRAIN → RETRY 01SHOW 02TRY 03CORRECT 04PROVE
01 Show

Skilled workers perform the task, recorded in detail.

02 Try

The robot attempts it on a real floor.

03 Correct

When it slips, our operator takes over and shows it the right way.

04 Prove

We test it against real production standards.

[04] Data stack

Eight kinds of real-world data. One site network.

Physical AI needs far more than videos of people working. One site visit can yield several of these.

Available

Human skill

First-person video, hand movement and experts narrating their work.

For robot-brain & humanoid companies
Available

Design & engineering workflows

Experts working in CAD and design software, every click recorded.

For AI labs & CAD AI companies
Available

Quality & inspection

Labelled images of real defects, graded by the site's own inspectors.

For inspection-AI companies
Available

3D spaces

Scans and digital twins of factory lines, kitchens and hotel rooms.

For world-simulator companies
Available

Workflow

Overhead footage of how people, materials and machines move.

For world simulators & AI for engineering
Available

Objects

3D scans of real items with weight and material.

For simulation & grasping teams
Pipeline

Process & production

Operation sequences, cycle times, defect logs and machine readings.

For AI-for-engineering labs
Pipeline

Robot interaction

Remote-control demonstrations, corrections and test results.

For robot-brain & humanoid companies

See the full data stack →

[05] Where we work

Built for physical industries.

Train · by skill

Cloth & soft materialsFood handlingPacking & picking Fine hand skillsDisassemblyDesign & engineering Cables & assembly · on request

Deploy · by site

FactoriesWarehousesDistribution centresRecycling & e-waste plants
[06] How we work

Real sites. Real experts. Clean data.

01

Real sites

Working factories, kitchens and hotels, not staged sets.

02

Industry experts

People who know the work judge what "done right" means.

03

Vendor-neutral

No house robot to push, and any partner fees disclosed.

04

Consent-first

Written consent, fair pay and anonymised data. Our principles →

Let's talk

Let's talk about robots.

Building robots or AI that need real-world data, or exploring automation for your operation? Tell us what you're working on.