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Home ยป Daloopa secures a $13 million strategic investment to enhance the data infrastructure for the future of AI in finance.
AI in Finance

Daloopa secures a $13 million strategic investment to enhance the data infrastructure for the future of AI in finance.

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Daloopa Secures $13 Million in Strategic Funding to Enhance Financial Data Precision

Transforming Financial Data with AI

Daloopa, a leading provider of AI-enhanced financial data for institutional investors, has successfully raised $13 million in strategic funding, spearheaded by Pavilion Capital. This investment aims to address the soaring demand for accurate financial information and to empower advanced AI applications in the financial services sector.

Innovative Model Context Protocol (MCP)

Daloopa’s innovative Model Context Protocol (MCP) effectively bridges large language models (LLMs) with structured financial data from nearly 4,700 public companies. This unique offering provides up to 10 times more data points per company compared to traditional data suppliers, ensuring full source traceability for each data point retrieved. The result is a more reliable data set that enhances financial decision-making.

Integration with Leading AI Platforms

With existing integrations into Claude and OpenAI, the Daloopa platform is well-positioned to support advanced AI workflows utilized by hedge funds, private equity firms, and financial analysts. As Daloopa continues to invest in its AI capabilities, plans are underway to expand research, product offerings, and integrations to meet evolving market demands.

Addressing Data Challenges in Finance

As the financial industry rapidly adopts AI, the shortcomings of publicly available data have been exposed, revealing issues such as hallucinations, inaccuracies, and a lack of source validation. Daloopa is committed to tackling these significant challenges head-on. By providing a comprehensive suite of accurate financial data, Daloopa allows institutions to leverage AI without compromising data integrity.

CEO’s Vision for the Future

Commenting on the funding, CEO Thomas Li stated, “We are entering an era where AI in finance is no longer optional, and precision and auditability are essential.” He emphasized the importance of Daloopa’s support for hedge funds, banks, and investment firms in developing AI tools while maintaining high data reliability. With Daloopa’s AI-centric data platform, analysts can create effective research workflows that facilitate better investment decisions.

Enhancing Financial Workflows

The Daloopa MCP serves a diverse range of AI-driven analytical workflows. It aids hedge funds in identifying quarterly shifts and simulating scenarios, while investment and assessment teams can quickly assemble comprehensive reports tied to accurate data sources. This flexibility allows institutions to accelerate their internal adoption of AI solutions while reducing the manual data cleansing process.

Looking Ahead: Expansion Plans and Capabilities

The strategic funding will enable Daloopa to expand its product capabilities, accelerate AI research, and deepen integrations with LLMs. This will empower financial institutions to develop more reliable and scalable AI-driven financial tools that can transform their operational efficiencies.

About Daloopa

Headquartered in New York, Daloopa specializes in providing fundamental data powered by AI for institutional investors. Its platform uniquely structures and distributes comprehensive historical datasets covering approximately 4,700 public companies, offering over ten times the data points per entity than its competitors. Designed for speed and seamless integration with AI applications, Daloopa aims to support various financial entities in optimizing their research workflows.

For more information, visit Daloopa.com.

Media Contact

Kari Litzmann
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Industry size projected to reach 550.9 billion USD

October 3, 2025

The Prime Minister of Albania outlines plans to eradicate corruption.

October 3, 2025

Germany’s Fintech Market Expected to Reach 29.25 Billion USD by 2030

October 3, 2025
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