New York-based fintech Daloopa has raised $47 million to scale its financial data infrastructure platform for institutional investors, financial analysts, and AI agents. The Series C funding round was led by Brighton Park Capital, with support from Squarepoint Capital, Touring Capital, and Nexus Venture Partners.

Daloopa operates a data platform that automatically extracts and cleans financial metrics from public corporate documents, including regulatory filings and investor presentations. Covering 5,500 global companies, the system logs up to 14 years of historical data and links each metric directly back to its source document for auditability.

Led by co-founder and CEO Thomas Li, the company has closed around $84 million in total funding since 2020. This figure includes a $20 million Series A round in 2021, an $18 million Series B round in 2024, and a $13 million strategic investment a year later.

Related:ICYMI fintech funding round-up: Harmoney, Didit, Replit, and more

This latest capital injection has been earmarked to expand the Daloopa engineering, product, and go-to-market teams. The company currently counts just over 500 employees, according to LinkedIn. 

There are also plans to expand access to its structured data across the broader artificial intelligence ecosystem. According to Li, the funding will help the company build the infrastructure necessary for firms to “move from early experimentation toward deploying AI in real investment workflows”. where answers must be “accurate and fully traceable”.

Daloopa has already worked throughout the last year to expand its offering in line with the doubling of company revenue. In late 2025, the fintech launched a Model Context Protocol connector with OpenAI, allowing language models to directly parse verified corporate figures. This was followed by a collaboration announced with Perplexity in April to integrate Daloopa’s data layer into real-time financial research search queries.