Think of the best person you know at their job. How did they get that good?
Experts get good through practice. Models do too: they do the work again and again, and each time they learn whether they got it right.
Until now, people built that practice by hand, one task at a time. It's slow and expensive, so only the largest labs can afford it.
We build it with code. We turn a job into working worlds. Companies with real records and real problems. Your model does the work, and the world checks every answer exactly. It never runs out of new problems.
We started with finance. Next is every kind of work a company does.
You get a model of your own, trained on your own data.