Daloopa, a New York-based AI-powered fundamental data platform used by equity investment and research teams, has announced a US$13 million strategic investment to support increasing demand for high-quality data used in large language models (LLMs) and AI agents in financial services.
The funding round included participation from both existing and new investors, including Pavilion Capital.
As financial institutions advance their use of AI, concerns have grown over the limitations of publicly sourced web data, which often includes inaccuracies, hallucinations, and lacks traceability to original sources.
Daloopa aims to address these challenges.
The company has introduced its Model Context Protocol (MCP), which is designed to connect LLMs with structured and fully sourced financial data.
Daloopa provides data on approximately 4,700 publicly listed companies worldwide, offering up to ten times more datapoints per company than other providers.
Each datapoint links directly to the original source, such as regulatory filings, footnotes, presentations, and earnings transcripts, to allow for full traceability.
“We’re entering the era where AI is no longer optional in finance, but accuracy and auditability are non-negotiable,”
said Thomas Li, Chief Executive Officer of Daloopa.
“We are excited by the trust the Pavilion Capital team has placed in Daloopa, enabling us to support hedge funds, banks, mutual funds, and corporates who want to scale AI tools without sacrificing data integrity.”
Daloopa’s MCP is already integrated with Anthropic’s Claude for financial services and is compatible with multiple platforms including OpenAI’s API.
It also supports the development of a dedicated Daloopa GPT, which is available via OpenAI’s GPT directory.
The protocol supports various analytical workflows, including tools for hedge funds analysing quarterly trends, private equity teams generating comparable company analysis, and equity researchers creating reports with verifiable data sources.
Strategy and AI teams also use MCP to streamline internal adoption of AI tools and reduce manual data work.
With the new investment, Daloopa plans to further develop its product, advance its AI research efforts, and strengthen its integrations with LLMs to support more robust financial AI applications.
Featured image credit: Edited by Fintech News America, based on image by Freepik
