From inconsistent estimates to trusted market signals
When venture capital and private equity teams evaluate a deal, they move fast. In private markets, initial decisions can happen in as little as 30 seconds. But behind that speed sits a critical requirement: the market needs to be big enough, growing, and backed by reliable data.
For CEO and Cofounder Francesco De Liva and the team at , that created a problem.
Kruncher builds AI-powered software that helps investors analyze companies by consolidating data from multiple sources—financials, founder background, traction, and market context—into one place. Most of that picture was already strong, bur market sizing and trends needed firmer ground.
“Before, it was mainly just asking the LLM,” Francesco explains. “But if you ask three times, you can get three different answers. They are not consistent.”
That inconsistency risked undermining trust with clients.