physical ai doesn’t have a data problem the way language models did. it has a bigger one.

text was already sitting on the internet, waiting to be scraped.
the real world isn’t.

every hour of usable robot data has to be captured, checked, and labeled
by someone, somewhere, doing something real -
and there’s no shortcut for that.

so we didn’t build a scraper.
we built the infrastructure to go get it:
people, cameras, pipelines, and the qa
to make sure what comes out the other end is actually good enough to train on.

we think the next generation of ai won’t be won by whoever has the biggest model.

it’ll be won by whoever has the best data -
and the best data comes from doing the unglamorous work of collecting it right,
at a scale nobody else is willing to do.