Before joining Addepar in 2013, Poirier spent seven years with Palantir Technologies as a director, where he created tools that enabled organizations to reconcile large, disparate data sets. Earlier in his career, he worked in Lehman Brothers Inc.’s Fixed Income Analytics group, modeling, simulating, and visualizing data across a broad range of debt and credit instruments. The impetus behind Addepar, he said, was the 2008 financial crisis, which forced the largest asset owners to make split-second decisions without full information.
Many fintech innovations are focused on applications like consumer lending credit, payment, and cryptocurrencies, whereas Poirier’s interest is in creating a common language, data model, and platform—in essence, an industry-standard operating system for finance. “Financial services have been underserved by technology for the past few decades,” he said, “with the technology mostly a cost center, residing in walled gardens at banks. But the biggest clients have assets in different banks, and there hasn’t been a standard way to integrate the data for clients or even identify assets across the different banks. No one bank can accomplish what we’re doing; it requires a third party.”
Addepar’s ambitious goal is only possible because of advances like the cloud, automated encryption, and open-source web frameworks, Poirier said. With the increasing sophistication of machine learning and other AI tools, Poirier anticipates that the rich data set that would emerge from a universal financial language will yield especially valuable insights when machine learning and other AI tools are eventually incorporated. “We can make financial markets less risky and help clients make rational, data-driven decisions,” he said. “Right now, we’re in the first inning.”