Crew cameras
Our tradesmen wear first-person cameras on the hard hat. We capture exactly what they see and how they do the job, on real paid projects.

Real jobs to train on. Real outcomes to test against.
Our tradesmen wear first-person cameras on the hard hat. We capture exactly what they see and how they do the job, on real paid projects.
Gloves that track every finger capture the feel of the work. How hard to press, how to grip a tool, when the concrete is ready.
Skid steers, mini excavators, telehandlers, and power trowels fitted with remote kits. Every command is recorded with camera and sensor data.
A crew member guides a robot arm on a lift to drive screws and hold trim. Each movement teaches the arm how our crews work.
AI improved fastest at math and code because the answers can be checked. Construction video shows the motion, not whether it was done right. Every Metal America job ends with a verified outcome, including what it cost, how long it took, and whether it passed inspection.
Every modality lands in the same place, gets the same QA and redaction, and is joined to the same job record before anyone labels it. In robotics terms, head cam video and glove data are human demonstrations, and teleoperation produces robot trajectories with real action labels.
That's the part no one else has.
Bring a model. We run it on real-world edge cases from held-out jobs with known outcomes, and show you where it holds up and where it breaks. Live today for language and vision models. Robot testing on job sites comes next.
Verifiable training data is data where the correct result can be checked against a real outcome, so a model learns what worked, not just what happened.
Because the answers can be checked automatically. A proof is right or wrong and code passes its tests or fails, so models can be trained against a reliable signal.
Physical work usually has no answer key. Video of a task shows the motion, but not whether it was done right. Most footage has no outcome attached.
Anyone can film a job or build a simulation. Real-world edge cases only come from real jobs at scale, tied to what actually happened. We capture them on every job we build, and we know the outcome.
Every job ends with a verified outcome from our records, including what it cost, how long it took, whether it passed inspection, and whether there was a callback.
For academic and non-commercial research. Use the data to train, evaluate, and publish.
For companies training or evaluating production robot models and construction AI.
Train on our data, test your model on real jobs, or both. We will reply within one business day with what we have and what is coming next.
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