FROM SKILLED HANDS
TO INTELLIGENT MACHINES
We capture real-world construction expertise
as training data for the next generation of robots.
$70B+
Projected global construction robotics market by 2030
10M+
Construction workers in North America alone
< 1%
Of physical AI training data sourced from real job sites today
THE PROBLEM
Physical AI is being built on data that doesn't reflect the real world.
01
Real environments, not labs
Most AI training data is staged, synthetic, or volunteer-based. It doesn't reflect real job-site variability. Ours does, because it is captured during actual work, in real conditions, with real stakes.
02
The perspective robots actually need
Humanoid robots require egocentric, first-person data. Existing datasets are overwhelmingly third-person. Our hard hat–mounted system captures exactly what the worker sees and how their body moves through each task.
03
Volume without disruption
Passive capture means scale without overhead. Every equipped worker on every site is a data collection point, without changing a workflow or disrupting a single shift.
THE OPPORTUNITY
The most valuable AI training data in the world is already being created.
We just capture it.
We are at the beginning of a decade-long shift in how robots are trained. The companies that control the best real-world data will define what is possible. Harness Robotics is building that infrastructure, starting with the trades.