Finance sector AI advances with $13M strategic investment poured into Daloopa for its innovative AI technology.
Daloopa, an innovative AI-powered financial data platform, has announced a strategic investment of $13 million. This investment aims to accelerate the expansion of Daloopa's Model Context Protocol (MCP), deepen integrations with large language models (LLMs), and bolster research and development in AI.
The MCP, Daloopa's flagship technology, bridges the gap between LLMs and structured, fully sourced financial data. It is trusted by leading equity investment and research teams worldwide, providing them with the tools they need to make informed decisions.
One of the key advantages of MCP is its ability to deliver up to 10 times more datapoints per company than other providers. Each datapoint is hyperlinked to the original source, ensuring full auditability. This includes financial filings, footnotes, presentations, and transcripts, which are crucial for maintaining accuracy and preventing AI hallucinations.
MCP addresses the shortcomings of public web-sourced data, such as hallucinations, inaccuracies, and lack of traceability to trusted sources. By grounding outputs in official filings and transcripts, MCP enhances the reliability of AI-powered financial analysis and research.
The MCP is LLM-agnostic and supports various AI platforms, including Anthropic's Claude for Financial Services, OpenAI's API, and other AI platforms using MCP Standard Protocol. This broad compatibility enables scalable, audit-friendly AI workflows that improve reliability and speed in research and modeling tasks for institutional investors.
Some of the primary applications of MCP in the financial services sector include hedge fund analysis of quarterly financial inflections, private equity comparable company generation, equity research report creation with traceable sourcing, and accelerating internal AI adoption by strategy and AI teams.
Thomas Li, CEO of Daloopa, commented on the investment, stating that in the era of AI in finance, accuracy and auditability are non-negotiable. He emphasized that the funding will enable institutions to build more reliable, scalable financial AI tools.
The investment was led by Pavilion Capital, with participation from other strategic investors. This investment underscores MCP’s role as essential financial data infrastructure enabling AI to be used reliably in institutional finance, where accuracy and auditability are critical.
With this investment, Daloopa plans to expand MCP capabilities, accelerate AI research, and deepen LLM integrations, further solidifying its position as a leader in AI-powered financial data solutions.
[1] Daloopa. (n.d.). About Us. Retrieved from https://daloopa.com/about [2] Daloopa. (n.d.). Model Context Protocol. Retrieved from https://daloopa.com/mcp [3] Daloopa. (n.d.). Partners. Retrieved from https://daloopa.com/partners [4] Daloopa. (n.d.). Press. Retrieved from https://daloopa.com/press
[1] This investment of $13 million in Daloopa will not only accelerate the expansion of its Model Context Protocol (MCP) but also bolster research and development in AI, showcasing a significant commitment to the intersection of finance, investing, technology, and artificial-intelligence.
[2] By deepening integrations with large language models (LLMs) and expanding MCP capabilities, Daloopa aims to reinforce its position as a leader in AI-powered financial data solutions, providing a reliable infrastructure for institutional investors to make informed decisions with confidence.
