Most AI product firms are founded and grown in a similar way.
It usually goes something like this:

Founder(s) develop a hypothesis about how AI might improve a particular business result
Money is raised, an initial team is built, and a beta product begins development
Initial prospect conversations make it clear that the firm is wrong about it's go-to-market hypothesis (almost no firm gets premonition right, per von Moltke's famous quote), and they need to recalibrate their hypothesis to consider what they've learned about:

The motives of stakeholders
The current state of IT and data infrastr...