When I ask this question, I’m really trying to understand what actually matters to investors when you’re pitching an AI product.
Is it the technology itself — how smart the model is, how accurate it performs, how advanced the system looks in a demo? Or is it more about the business — traction, revenue potential, scalability, and market demand?
I’m also curious about how deep investors go technically. Do they ask about your data sources, model training, and long-term scalability? Or do they focus more on whether the solution solves a real problem people will pay for?
For founders building in AI Development, it’s often hard to know where to focus during a pitch:
Should we highlight the algorithm?
The proprietary data?
The business model?
Or the team’s expertise?
Ultimately, what makes investors say, “This is worth backing”?
I’d love to hear real experiences — what questions did investors ask you, what impressed them most, and what almost killed the deal?