See how Daloopa’s Verifiable Data Scrubbing (“VDS”) solution can help your team take the manual labor out of modeling. In this 15-minute chat, learn how buyside and sellside teams are leveraging Daloopa to enhance their workflow.
Chief Happiness Officer
Thomas Li is the Co-founder and CEO of Daloopa, a company that accelerates time to insight for analysts and investors with AI-powered historical data. Daloopa is a critical part of the research infrastructure for some of the largest hedge funds, private equity firms, and investment banks globally. Before starting Daloopa, Thomas was a TMT analyst at Point72 and later at KCL Capital. He holds finance and economics degrees from New York University.
Daniel Chen is Co-founder and Chief Revenue Officer (CRO) of Daloopa. Prior, he was a distributed systems researcher at Microsoft Azure and NYU. Daniel studied computer science at New York University.
When I’m not begging for treats, I’m helping the team sniff out the cleanest, most complete data for LLMs. My favorite treat? Zero hallucinations and auditable insights—because I know your AI is only as good as the data you feed it. As the official Daloopa office dog and self-appointed MCP (Model Canine Protocol) specialist, I make sure our data is always ready to fetch. About me: