Daloopa

Daloopa, Inc. is a US-based provider of AI-driven data solutions that enhance financial modeling processes for equity analysts and investment professionals, focusing on efficiency and accuracy in data management. Daloopa, Inc. specializes in automating financial data collection for investment professionals.

Founded in 2019 in New York, US, by Jeremy Huang and Thomas Li, the company has completed 4 deals to date. Daloopa offers a comprehensive suite of AI-driven data solutions tailored for financial modeling in Excel, primarily aimed at equity analysts and investment professionals. Their advanced financial data platform automates the collection and updating of fundamental financial data from over 3,500 publicly traded companies, covering more than a decade of historical performance metrics including KPIs and GAAP to Non-GAAP adjustments. This platform allows analysts to focus on strategic insights rather than manual data entry, serving clients across North America, Europe, and Asia, including hedge funds, mutual funds, investment banks, and private equity firms.

Daloopa generates revenue through a tiered subscription model that includes various plans to accommodate client needs. The Daloopa Free plan allows access to five free financial models, while the Daloopa Standard plan enables users to link existing financial models to Daloopa’s database for seamless updates during earnings periods. The Daloopa Plus plan provides instant filing updates and incremental KPI updates critical for competitive advantage during earnings reports. Primarily engaging in B2B transactions, clients subscribe to these plans to receive timely and accurate financial data, optimizing their modeling efficiency.

In May 2026, Daloopa raised USD 47 million in series C funding led by new investor Brighton Park Capital, with participation from another new investor Squarepoint Capital. Returning investors Touring Capital and Nexus Venture Partner also participated in the round. The company will uses the May 2026 funding to support its platform expansion, team growth, and development of its data infrastructure for AI-driven financial workflows.