When AI agents hallucinate up to 70% of financial data points, the outputs become unusable and that’s the problem most firms building investment AI are quietly sitting on. A New York-based company just raised $47M to fix it at the infrastructure level, and the list of financial institutions already relying on its data layer includes more than 160 of the world’s top funds and banks. Find out why the same firms that analyze markets for a living chose this platform to power their AI workflows and what that says about where financial research is heading.