The funding supports the global expansion of Daloopa’s AI-ready foundational data platform and the launch of the new Model Context Protocol (MCP), now integrated with Anthropic’s Claude for Financial Services
Daloopa, the AI-powered fundamental data platform trusted by the world’s leading equity investment and research teams, announced a $13 million strategic investment to meet the growing demand for high-quality data powering large language models (LLMs) and AI agents in the financial services industry. Participants in the round included existing and new investors such as Pavilion Capital.
As institutions increasingly embrace AI, the shortcomings of public web data are becoming clear: false positives, inaccuracies, and the inability to link results to reliable sources. Daloopa tackles this problem at its core.
The recently launched Model Context Protocol (MCP) bridges the gap between LLMs and structured, complete financial data. Daloopa covers nearly 4,700 public companies worldwide and delivers up to 10 times more data points per company than other providers. Each data point is hyperlinked to the original source (documents, footnotes, presentations, and transcripts), making it fully auditable.
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“We are entering an era where AI is no longer optional in the financial industry. However, accuracy and verifiability are undeniable,” said Thomas Li , CEO of Daloopa . “We are grateful for the trust the Pavilion Capital team has placed in Daloopa, allowing us to support hedge funds, banks, mutual funds, and corporates in developing AI tools without compromising data integrity. With our AI-powered data platform, Daloopa is the essential foundation for any analyst building an AI-based research stack.”
Daloopa’s MCP is already integrated with Anthropic’s Claude for Financial Services . It is LLM-agnostic and supports Claude, OpenAI’s API, and other AI platforms using the MCP Standard Protocol. Daloopa’s MCP also enables a custom Daloopa GPT, accessible through OpenAI’s GPT directory.
Daloopa‘s MCP supports a wide range of analytical AI workflows, from hedge funds mapping quarterly inflections and simulating scenarios to private equity and valuation teams generating instant comparisons, and equity researchers creating reports with full traceability back to the source. Strategy and AI leaders also rely on MCPs to accelerate internal adoption and eliminate manual cleanup.
Source: PRNewswire
