Most teams think they know their customers.

They have the numbers. The dashboards. The conversion rates. They can tell you exactly what happened last quarter down to the last click.

But ask them why a customer chose them over a competitor. Or what actually made someone hesitate before buying. Or what words a customer uses when they describe the problem they were trying to solve.

Most teams go quiet.

Three friends noticed this from different angles.

Philippe was working in market research, helping large technology companies understand the people buying from them. He kept seeing the same thing. The teams that won were not the ones with the most data. They were the ones that actually listened. But the research was slow, expensive, and by the time it landed in a report, the decision had already been made.

Viet and Tyler were on the other side of the table. Engineers at Intel, sitting inside one of the largest technology companies in the world, watching decisions get made every day. Good decisions. Bad decisions. And a lot of decisions that would have been much better if someone had just talked to a customer first.

When they got together they realized they were all describing the same problem from different directions.

Most teams move forward on assumptions because getting to the truth was always too hard and too slow.

When ChatGPT arrived, dozens of startups rushed to build AI research tools. These three did not want to build another tool. They wanted to build the data underneath. A proprietary library of real customer conversations that compounds over time and that no one can simply copy.

That is GetWhys.

Real humans conduct the interviews. AI makes sense of them. The insights go directly into the work your team is already doing. When someone is writing a message, building a campaign, or trying to figure out why a deal stalled, the answers are right there. Not buried in a presentation. Not waiting for the next quarterly review.

In the past year GetWhys grew its revenue more than 10 times and its customer base more than 20 times. Companies like Intel, Verizon, DocuSign and Commvault are using it. In April 2026 the company raised $5.2 million bringing total funding to $8 million.

Three friends. Three different views of the same problem.

One company built to finally solve it.