#United States #AI #New York #Financial Services #Daloopa

Daloopa Secures Major Investment for AI Advancement in Finance

In a significant boost to the integration of artificial intelligence in financial services, Daloopa, an innovative AI-centric data platform, has announced a strategic investment of $13 million. This financial backing is essential in supporting Daloopa’s mission to provide reliable, high-quality data crucial in the evolving landscape of finance.

Understanding the Funding and Its Implications
The investment round was marked by participation from both new and existing investors, including Pavilion Capital. The urgency for accurate data in finance has never been more apparent as institutions globally embark on adopting AI technologies. Daloopa aims to fill the gaps that many face with current public web-sourced data, known to produce inaccuracies or misleading outputs—often referred to as hallucinations.

Daloopa's platform is designed to tackle these inadequacies head-on by ensuring access to verified, structured financial data integrated within Large Language Models (LLMs).

Launch of the Model Context Protocol (MCP)
One of the groundbreaking features introduced by Daloopa is its Model Context Protocol (MCP). This protocol seamlessly links LLMs—artificial intelligence systems that have become indispensable in financial services—to structured, fully-sourced data repositories. By supporting nearly 4,700 public companies worldwide, Daloopa provides an impressive array of data points, offering up to ten times more details per company than its competitors. Each data point connects back to its original sources such as filings and transcripts, ensuring full traceability and auditability.

Thomas Li, CEO of Daloopa, emphasizes the importance of accuracy in AI-driven finance: "We're entering the era where AI is no longer optional in finance—but accuracy and auditability are non-negotiable. We are excited by the trust that Pavilion Capital has placed in us, enabling us to support hedge funds, banks, and corporates who seek to implement AI tools without compromising data integrity."

Integrations and Future Developments
Daloopa is also proud to announce its integration with Anthropic’s Claude for Financial Services. However, the protocols are designed to be LLM-agnostic, meaning Daloopa's MCP can work with various AI frameworks, including OpenAI’s API. The potential for tailored AI solutions is vast; users can even access a custom version of Daloopa's GPT, listed on OpenAI’s directory.

The applications of Daloopa's MCP are diverse. From hedge fund analysts identifying quarterly changes to private equity teams generating instantaneous comparisons, the protocol supports complicated analytical workflows, drastically reducing the time and manual effort required for financial analysis.

With this funding, Daloopa is set to expand its product capabilities significantly. The company will delve deeper into AI research and broaden its LLM integrations, further supporting clients in developing robust financial AI tools that can withstand scrutiny and serve as a bedrock for future financial analytics.

About Daloopa
Headquartered in New York, Daloopa stands as a trailblazer in providing AI-powered fundamental data tailored for institutional investors. The platform sources historical financial datasets, known for their comprehensiveness and accuracy. It revolutionizes the way financial institutions structure their research and analysis by providing tools built for scalability, speed, and integration with existing AI platforms.

For further information and updates, visit daloopa.com.