Daloopa, a company providing data infrastructure for AI and agentic workflows in finance, announced it has raised $47 million in Series C funding led by Brighton Park Capital, with participation from Squarepoint Capital, Touring Capital, and Nexus Venture Partners.
The funding will support the company’s expansion as investment firms increasingly transition AI systems from experimentation into production workflows, where accuracy and reliability are critical. The company also plans to grow its engineering, product, and go-to-market teams.
According to the company, AI adoption in financial workflows has increased the importance of reliable, structured data infrastructure. In areas such as valuation, earnings analysis, and portfolio modeling, inconsistencies like misaligned fiscal calendars or varying metric definitions can materially affect outcomes.
Before structured data infrastructure platforms emerged, analysts often spent significant time manually collecting and validating data from company filings. AI systems also continue to face challenges related to data quality because many rely on web-sourced information that lacks standardization and source attribution.
Daloopa addresses these issues by providing structured, source-linked financial data for investors. The platform currently covers more than 5,500 public companies globally and provides up to 10 times more data points per company than competing providers. Each datapoint is linked to its original source to support auditability and traceability.
The company said investment firms are using the platform for workflows including quarterly analysis, scenario modeling, AI-assisted research, and reporting.
The funding announcement follows several recent product and partnership developments for the company, including:
- Expanded access to its data through MCP connectors with OpenAI’s ChatGPT, Anthropic’s Claude, Perplexity, and Rogo.
- Publication of a benchmark study showing AI agent accuracy improved by up to 71 percentage points when grounded in structured, auditable financial data instead of web-based retrieval.
- New platform capabilities including API-based programmatic access and cloud-native delivery through Snowflake, Databricks, and Amazon Web Services S3.
The company is also launching a Partner API designed to enable third-party developers and partners to integrate Daloopa’s financial data into AI workflows and products.
Daloopa said its momentum is reflected in growing customer adoption as firms operationalize AI within production workflows. The company also reported that it doubled revenue over the past year while continuing to expand data coverage and integrations across the AI ecosystem.
KEY QUOTES:
“We’re seeing firms move from early experimentation toward deploying AI in real investment workflows, and that changes the requirements entirely. It’s 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.”
Thomas Li, CEO, Daloopa
“Daloopa is solving one of the most consequential data challenges in financial services. 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.”
Tim Drager, Partner, Brighton Park Capital
