Daloopa Raises $47M in Series C Funding Led by Brighton Park Capital

The round also saw participation from Squarepoint Capital, Touring Capital, and Nexus Venture Partners.

The company plans to use the funds to continue growing its platform and expand its engineering, product, and go-to-market teams.

As AI agents become more common in financial workflows, reliable data has become critical. In areas like company valuation, earnings analysis and portfolio modeling, even small data inconsistencies can lead to inaccurate results.

Before structured financial data systems existed analysts spent hours manually gathering and checking information from company filings. Today many Artificial intelligence (AI) tools still struggle with data accuracy because they rely on web based information that is not standardized or properly linked to source's which can lead to unreliable outputs.

Daloopa solves this problem by providing structured financial data linked directly to sources, making it more reliable for investors. The platform now covers more than 5,500 public companies worldwide and provides up to 10 times more data points per company than many other providers. Every datapoint is connected to its source for easy verification. Investment firms use Daloopa for tasks such as quarterly analysis, scenario modeling, AI-assisted research, and reporting.

Daloopa is also launching a Partner API that allows partners and startup developers to use its financial data in their own AI workflows and products. These updates highlight a larger trend in the market: the biggest challenge for AI in finance is not the AI models themselves, but having a reliable and well-structured data infrastructure.

That growth is also reflected in how investment firms are using Daloopa. More customers are now using the platform to run AI-powered workflows in real production environments, and some investors became interested in the company after using the technology themselves.

Daloopa has also grown quickly, doubling its revenue over the past year while expanding data coverage and strengthening integrations across the AI ecosystem. As financial firms increase automation, Daloopa is becoming an important infrastructure platform for AI and agent-based workflows in financial services.

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"Daloopa is solving one of the most consequential data challenges in financial services," said Tim Drager, Partner at Brighton Park Capital. "As AI becomes embedded in financial decision-making and core investment workflows, the firms that succeed will be those with the strongest data foundations. Daloopa has built exactly that and is already trusted by over 160 financial institutions, which speaks to both the quality of the platform and the urgency of this problem. We are thrilled to partner with Thomas and the team as they continue to define this category."

"We're seeing firms move from early experimentation toward deploying AI in real investment workflows and that changes the requirements entirely," said Thomas Li CEO of Daloopa. "Its no longer enough for models to simply generate answers; they must be accurate, and fully traceable. Our focus is on building the data infrastructure that makes that possible, so firms can trust what AI is producing."

About Daloopa

Founded by Thomas Li, Daniel Chen, and Jeremy Huang, Daloopa provides financial data and AI infrastructure for the finance industry. Its platform collects, organizes and delivers historical financial data for more than 5,500 public companies worldwide. Analysts at leading investment firms use Daloopa’s tools to save time and make faster decisions. The company also powers AI financial agents with a reliable data infrastructure and is trusted by major AI companies.

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