Daloopa Secures $13M for AI Finance Data Infrastructure
Daloopa, a leading AI-powered fundamental data platform, has announced a significant $13 million strategic investment aimed at bolstering the next generation of artificial intelligence in the financial sector. This funding round, which saw participation from both existing and new investors, including Pavilion Capital, underscores the escalating demand for high-quality, verifiable data essential for powering Large Language Models (LLMs) and AI agents within financial services.
Headquartered in New York, Daloopa has established itself as a trusted provider of AI-powered financial data for the world’s leading equity investment and research teams. The company’s proprietary platform is designed to source, structure, and distribute comprehensive and accurate historical financial datasets. Daloopa currently covers nearly 4,700 public companies globally, offering a remarkable advantage by providing up to 10 times more datapoints per company than traditional providers. A cornerstone of Daloopa’s offering is its commitment to auditability and transparency; every single datapoint is hyperlinked directly to its original source, such as regulatory filings, footnotes, presentations, and earnings transcripts, ensuring full traceability and reliability. This meticulous approach addresses a critical need for financial institutions that require not just data, but trusted data for their analytical and decision-making processes.
The rapid adoption of generative AI and LLMs in finance has brought to light significant challenges related to data quality, the potential for “hallucinations” (inaccurate AI-generated information), and the difficulty in verifying outputs when relying on public web-sourced or generalized data. Daloopa directly tackles these issues with its recently launched Model Context Protocol (MCP). The MCP acts as a crucial bridge, connecting LLMs to structured, deeply sourced financial data, thereby enhancing the accuracy and reliability of AI-driven insights. This protocol is LLM-agnostic, ensuring compatibility with a wide range of platforms, including Anthropic’s Claude, OpenAI, and custom GPT models, and is already integrated with Claude for Financial Services.
The $13 million strategic investment will be instrumental in Daloopa’s plans to expand its product capabilities, accelerate its AI research, and deepen integrations with leading LLM platforms. These enhancements are vital for enabling financial institutions to build more reliable and scalable AI-powered tools. Thomas Li, CEO of Daloopa, emphasized the evolving landscape of finance, stating, “We’re entering the era where AI is no longer optional in finance—but accuracy and auditability are non-negotiable.” He highlighted the trust placed in Daloopa by investors like Pavilion Capital, which will allow the company to further support hedge funds, banks, mutual funds, and corporates in scaling their AI tools without compromising data integrity.
For financial institutions, Daloopa’s platform and its MCP are already powering a diverse range of analytical AI workflows. These include assisting hedge funds in identifying quarterly financial trends and simulating scenarios, enabling private equity and valuations teams to instantly generate comparable company analyses, and empowering equity researchers to produce reports with full source traceability. Moreover, the platform facilitates internal AI adoption by significantly reducing the burden of manual data cleanup and improving audit readiness, allowing analysts to focus more on analysis and insight generation.
As the financial industry continues its rapid embrace of AI, the need for high-quality, auditable data becomes increasingly paramount. Daloopa’s strategic investment positions it at the forefront of this transformation, providing the foundational data infrastructure necessary for financial professionals to leverage AI effectively and confidently, ultimately driving more informed decision-making and enhanced productivity.