Massive

“We had a private equity fund for which we did a pilot, which is the fund that is behind the Philadelphia 70 Sixers, and they were looking to purchase new live events like stadiums, arenas, things like that. And they used our data to assess which was the best.”

“SaaS fees. It's a subscription on a yearly basis. The average price of our services goal is defined by the category that we analyze. So for example, in the case of you know, cosmetics, you can assume, like, for example, facial moisturizers in one category, fac…”

“Totally bootstrapped.”

“We have currently nine well, no, eight customers paying.”

“We are currently at one because we are it's funny.”

“Well, one year ago was actually half. So it was 40,000. It's a bit less actually in that house.”

“One thing that I noticed from typical Silicon Valley data as a service company is that they don't know very well the marketing, the market they're targeting to. So they don't understand Understand what happens in companies, what they're really looking for. And…”

“What we are doing is basically reaching out to them with cold emails and cold messages not very sophisticated strategy, honestly, and just with our story, with our use cases and, you know, we were lucky enough to strike From the get go, big customer prior cont…”

“Hedge funds. Back to your question, not really good target because they're used to buy alternative data by the kilo. So quantity versus quality. We are very qualitative, so we are not exactly a target for them.”

“Our team is, is in Italy, and we have more than 100 papers published on AI.”