#USA #New York #Financial Services #AI Platform #Daloopa

Daloopa's Significant Investment in AI-Driven Financial Data

Daloopa, a prominent AI-powered platform specializing in fundamental data, has announced a major strategic investment of $13 million aimed at enhancing the quality of financial data in the industry. This funding is propelled by a rising demand for highly accurate data to support Large Language Models (LLMs) and AI agents within financial services. Supported by existing investors, including Pavilion Capital, this investment places Daloopa at the forefront of technological advancement in finance.

As financial institutions increasingly adopt AI technologies, they have encountered significant challenges related to the inadequacies of publicly available data. Issues such as inaccuracies, hallucinations, and the lack of traceable sources have become increasingly apparent. To address these concerns, Daloopa is stepping in to deliver a foundational solution.

The newly introduced Model Context Protocol (MCP) is tailored to bridge the gap between LLMs and structured financial data that has been meticulously sourced. Daloopa boasts comprehensive coverage of close to 4,700 publicly traded companies globally, offering up to ten times more data points per company compared to other providers. Each data point is rigorously linked to its original sources—such as filings, footnotes, presentations, and transcripts—ensuring complete verifiability.

According to Thomas Li, CEO of Daloopa, “We are entering an era where AI in finance is no longer optional; however, accuracy and verifiability are imperative. We appreciate the trust shown by Pavilion Capital in Daloopa, enabling us to support hedge funds, banks, investment funds, and companies striving to scale AI tools without compromising data integrity. Our AI-driven data platform is essential for analysts building a research stack propelled by AI.”

The MCP from Daloopa, which is already integrated into Anthropics Claude for Financial Services, is agnostic to the specific LLM employed, supporting Claude, OpenAI's API, and any other platforms adhering to the MCP standard protocol. Additionally, Daloopa's MCP facilitates the launch of a customized Daloopa-GPT, accessible through OpenAI’s GPT directory.

The Model Context Protocol is equipped to assist a myriad of analytical AI workflows, from hedge funds identifying quarterly volatility and running simulations to private equity and valuation teams generating immediate comparisons, and stock analysts producing reports with complete source traceability. Strategic and AI leaders are also leveraging MCPs to expedite implementation within their organizations, thus bypassing the need for manual clean-ups.

With this funding, Daloopa is set to expand its product capabilities, accelerate AI research, and deepen LLM integration, empowering institutions to develop more reliable and scalable AI tools tailored for financial applications.

About Daloopa

Daloopa, headquartered in New York, stands as a leading provider of AI-driven fundamental data for institutional investors. Its proprietary platform sources, structures, and distributes the most comprehensive and precise historical financial datasets covering nearly 4,700 publicly listed companies worldwide, offering more than ten times the data points per company in comparison to competitors. Daloopa is crafted for speed, verifiability, and integration with AI tools, assisting hedge funds, private equity firms, investment funds, corporations, and investment banks in accelerating modeling and research workflows. For more information, visit daloopa.com.