Intuizi Information

Founded in 2019, Intuizi started with the belief that AI could do more than move fast, it could find connections across entirely different kinds of data at once, all while respecting the people whose behavior it was learning from. Nothing like it existed, so we built it. Our large quantitative models (LQMs) run on real-world behavior, not language, and they don't need identity to understand it. Four principles guide how we do business: We benchmark before we build. A model doesn't go live on your data until it matches your own existing results. Every answer traces back to a signal. You can see the inputs behind a result which means you can question it, adjust it, and trust it, not just accept it. You don't need identity to understand behavior. That's not a limitation we work around. It's what we believed from the start. We own our infrastructure, so we control our costs. That's what makes it economical to ask a question that would've cost too much to ask anywhere else. We're changing what your data can do, at a scale and speed that wasn't possible before.