Thomas Li (CEO, Daloopa) and Nic Lin (Anthropic) go deep on a practical AI stack for fundamental investors: Daloopa’s verified historicals as the trusted context, Anthropic’s Claude as the thought partner. They unpack the “retrieve → analyze → create” workflow, why the mechanical Excel work should be automated, and how auditors can trace every number back to source. Real use cases include ranking companies on guide-vs-actuals accuracy and screening PE takeout risk without building 50 LBOs. They cover MCP integrations, file creation and artifacts, finance-grade benchmarks, outcome-based pricing, and an open ecosystem that meets analysts in Excel, PowerPoint, email, and more. The roadmap: virtual collaborators that proactively suggest tasks, deeper data integrations, and institution-ready outputs—so you spend less time updating models and more time making calls you can defend.