Thanks for asking! It goes beyond simple pattern matching— the tool uses a vector based model that I’ve trained with ml algorithms to analyze and rank investors

Thanks for asking! It goes beyond simple pattern matching— the tool uses a vector based model that I’ve trained with ml algorithms to analyze and rank investors based on more than just metrics. When founders get matched, the platform provides detailed “match reasons,” which explains why a particular investor might be a good fit, factoring in metrics like investment stage, focus areas, and even portfolio trends. This scoring and ranking system dynamically adapts as new data comes in, so it’s continuously improving its recommendations. The ML and AI aspect are constantly complementing each other