Daloopa, a provider of AI-powered data extraction services to hedge funds, investment banks, and other financial institutions, has raised $13 million in funding.
As institutions accelerate AI adoption, Daloopa says that the shortcomings of public web-sourced data have become clear — hallucinations, inaccuracies, and the inability to tie outputs back to trusted sources.
Its technology aims to to address this problem at the core. The firm's new Model Context Protocol (MCP) bridges the gap between LLMs and structured, fully sourced financial data. Daloopa covers nearly 4,700 public companies globally, with each datapoint hyperlinked to the original source—filings, footnotes, presentations, and transcripts—for full auditability.
Already integrated with Anthropic’s Claude for Financial Services, Daloopa’s MCP is LLM-agnostic and supports Claude, OpenAI’s API, and other platforms.
Thomas Li, CEO, Daloopa, says: “We’re entering the era where AI is no longer optional in finance—but accuracy and auditability are non-negotiable...With our AI-driven data platform, Daloopa is the essential foundation for any analyst building an AI-enabled research stack.”