Daloopa, a company specializing in AI-powered data extraction for hedge funds, investment banks, and various financial institutions, has successfully secured $13 million in funding.
As financial institutions increasingly embrace AI, Daloopa highlights significant challenges associated with data sourced from the web, including inaccuracies, hallucinations, and the difficulty of tracing outputs back to reliable sources.
To tackle these issues, Daloopa has developed the Model Context Protocol (MCP), which connects large language models (LLMs) with structured, fully-sourced financial data. The company provides coverage for around 4,700 public companies worldwide, ensuring that each data point is linked directly to its original source—whether it be filings, footnotes, presentations, or transcripts—facilitating complete auditability.
Daloopa’s MCP is already integrated with Anthropic’s Claude for Financial Services and is designed to be LLM-agnostic, accommodating Claude, OpenAI’s API, and other platforms.
Thomas Li, CEO of Daloopa, emphasized, “We’re entering an era where AI is no longer optional in finance—accuracy and auditability are essential. Our AI-driven data platform serves as the critical foundation for any analyst building an AI-enabled research stack.”