NEW YORK: Daloopa raises $47 million in Series C funding to scale its AI data infrastructure for agentic workflows across the finance industry.
The startup processes structured financial data from filings, transcripts, and reports automatically. Investment analysts, hedge funds, and corporate finance teams use the platform daily. Daloopa positions itself as the data backbone for agentic AI in financial services.
The Series C lands as financial AI investment reaches record levels globally. Anthropic recently launched 10 AI agents specifically for banks and asset managers. JPMorgan, Goldman Sachs, and Citi all deploy production AI across multiple workflows.
Daloopa extracts numbers from SEC filings, earnings transcripts, and corporate reports continuously. The platform normalizes the data so analysts skip manual spreadsheet building entirely. AI agents draw on the cleaned data feed for downstream reasoning and modeling.
The company solves a persistent bottleneck blocking enterprise AI adoption in finance. Most financial models still depend on hand-extracted data from filings and presentations. Daloopa automates the entire workflow while maintaining audit trails for compliance teams.
Investment analysts spend roughly 60% of their time on data gathering historically. Daloopa customers report substantial productivity gains across coverage universes and reporting cycles. The economics improve further when AI agents reason over the structured data automatically.
The funding lands amid surging investor appetite for vertical AI in regulated industries. BranchLab raised $26 million on May 13 for pharma commercialization AI. Forus hit unicorn status the same day for healthcare prescription workflows.
Daloopa plans aggressive engineering and go-to-market expansion with the fresh capital. The company also wants to deepen partnerships with major asset managers and hedge funds. New product modules will target additional financial workflow categories over coming quarters.
Customer counts and annual recurring revenue figures remain undisclosed at this stage.
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