Daloopa

Overview

Daloopa is a data platform that provides source-linked financial information for AI tools and investment firms[1]. Founded in 2019 by Daniel Chen, Thomas Li and Jeremy Huang[2], the company raised a $47M Series C led by Brighton Park Capital, with Squarepoint Capital, Touring Capital and Nexus Venture Partners participating[2]. Daloopa's product suite includes Data Sheets (pre-built financial models for 6,000+ global companies), an Excel Add-In, Scout (an AI agent that builds and maintains financial models with source-linked data), a fundamental data API, and an MCP server that lets LLMs and AI agents pull auditable financial data[8]. The company covers 6,000+ public companies with 14 years of history and claims average accuracy above 99%[6]. Daloopa counts Anthropic, OpenAI, Perplexity and Microsoft among its AI company partners[5] and serves more than 185 of the largest hedge funds, mutual funds and bulge-bracket banks[9]. The company is headquartered in New York[10].

Daloopa's product suite includes Data Sheets (pre-built financial models for 6,000+ global companies), an Excel Add-In that auto-updates models during earnings season, Scout (an AI agent that builds and maintains financial models with source-linked data), a fundamental data API, an MCP server that lets LLMs and AI agents pull auditable financial data, and cloud-native data delivery. [8]

Daloopa builds AI-powered financial data infrastructure for investment professionals, providing source-linked fundamental data and automation across the investment research cycle. [9]

Company website footer lists 122 East 42nd St, 14th Floor, New York, NY 10168 [11]

SEC EDGAR lists Daloopa, Inc. business address as 693 5th Ave, 13th Floor, New York, NY [12]

Business address: 122 East 42nd Street, New York, New York, 10168. [16]

Customers

Daloopa serves more than 185 of the largest hedge funds, mutual funds and bulge-bracket banks. [5]

Partnerships

Daloopa counts Anthropic, OpenAI, Perplexity and Microsoft among its AI company partners. [6]

Growth & traction

Daloopa covers 6,000+ public companies with 14 years of history, claims 4-10x more data points per company than competitors and average accuracy above 99%, and says it cuts 70% of the time spent building new models while saving roughly two hours per ticker on updates. [7]

LinkedIn lists 531 people working at Daloopa. [13]