Daloopa, an AI-powered financial data platform favored by leading investment teams, has raised $13 million to cater to the growing need for high-quality data for large language models (LLMs) and AI agents. The funding round included both existing and new investors, such as Pavilion Capital.
As AI technology becomes more widespread, the limitations of public web data—such as hallucinations, inaccuracies, and unlinked outputs—are increasingly apparent. To tackle these issues, Daloopa introduced the Model Context Protocol (MCP), which connects LLMs with comprehensively sourced financial data from nearly 4,700 companies globally. It offers up to ten times more data points per company than competitors, with each data point directly linked to its source, such as filings, footnotes, presentations, and transcripts, ensuring full auditability.
MCP has already been integrated with Anthropic’s Claude and is compatible with various AI platforms through the MCP Standard Protocol. Additionally, it powers a custom Daloopa GPT on OpenAI’s GPT directory.
MCP enables workflows like hedge fund scenario analysis, private equity comparisons, and equity research reports, all with source traceability. This helps industry leaders accelerate AI adoption while minimizing manual data cleanup.
How the funding will be used: With this funding, Daloopa will enhance its products, boost AI research, and expand LLM integrations to create more reliable, scalable financial AI tools.
KEY QUOTE:
“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.”
Thomas Li, CEO of Daloopa
