TLDR: FinTech firm Daloopa has successfully raised $13 million in strategic investment to enhance its AI-powered fundamental data infrastructure for financial services. The funding, which saw participation from Pavilion Capital and other investors, will be used to expand product capabilities, deepen integration with large language models (LLMs), and support further AI research. Daloopa’s platform provides highly accurate and auditable financial data, addressing critical challenges like data quality and hallucinations in AI applications within the finance sector through its Model Context Protocol (MCP).
Daloopa, a New York-based FinTech company specializing in AI-powered fundamental data infrastructure for financial services, has announced a significant strategic investment of $13 million. This latest funding round attracted participation from both existing and new investors, including Pavilion Capital, underscoring confidence in Daloopa’s innovative approach to financial data management.
The company’s core offering delivers structured and fully sourced financial data to leading equity research and investment teams worldwide. Daloopa boasts coverage of nearly 4,700 public companies globally and claims to provide up to ten times more datapoints per company than its competitors. A key differentiator is that each datapoint is hyperlinked directly to original sources such as regulatory filings, footnotes, and transcripts, ensuring full auditability and transparency.
The newly secured capital is earmarked for several strategic initiatives. Daloopa plans to expand its product capabilities, deepen its integration with large language models (LLMs), and support further research in artificial intelligence. These enhancements are designed to empower financial institutions to build more reliable and scalable AI-powered financial tools.
In an era where financial institutions are rapidly adopting generative AI, concerns regarding data quality, potential ‘hallucinations,’ and the verifiability of outputs have become paramount. Daloopa directly addresses these challenges with its recently launched Model Context Protocol (MCP). This protocol connects LLMs to trusted, structured financial data, mitigating risks associated with unreliable information. The MCP is LLM-agnostic, ensuring compatibility with various platforms, including Anthropic’s Claude, OpenAI, and custom GPT models.
According to Daloopa, its Model Context Protocol is already powering a diverse range of use cases across hedge funds, banks, and corporates. These applications span from identifying quarterly financial trends to generating comprehensive equity research reports with complete source traceability. The platform also facilitates internal AI adoption by significantly reducing the burden of manual data cleanup and enhancing audit readiness.
Also Read:
- Pantomath Secures $30 Million in Series B Funding to Advance AI-Powered Data Operations
- Reflection AI Secures $130 Million Funding, Eyes $1 Billion Valuation for AI Coding Agents
Thomas Li, CEO of Daloopa, emphasized the critical role of AI in modern finance, stating, “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 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. With our AI-driven data platform, Daloopa is the essential foundation for any analyst building an AI-enabled research stack.” This investment positions Daloopa to continue its trajectory as a vital enabler of AI-driven transformation in the financial sector.
