Daloopa's dataset covers 5,500+ public companies globally and delivers up to 10x more data points per company than other providers, with every datapoint hyperlinked to its original source for auditability.

The MCP and Partner API extend that data layer into ChatGPT, Claude, Perplexity, Rogo, and major data clouds (Snowflake, Databricks, AWS S3), giving AI agents the structured inputs they need for valuation, earnings, and portfolio modeling.

Investment firms are moving from AI experimentation to production workflows, where accuracy and reliability are non-negotiable for valuation, earnings analysis, and portfolio modeling.

Daloopa frames the bottleneck in AI-driven finance as data infrastructure rather than model intelligence, citing its published benchmark in which grounded structured data improved AI agent accuracy by up to 71 percentage points over web retrieval.

Daloopa raised a $47 million Series C led by Brighton Park Capital in May 2026, with participation from Squarepoint Capital, Touring Capital, and Nexus Venture Partners.

The capital expands engineering, product, and go-to-market teams and accelerates adoption of Daloopa's structured data layer across AI investment research, where the company now serves 160+ hedge funds, mutual funds, bulge bracket banks, and leading AI platforms.

Daloopa is the financial data layer for investment research, delivering source-linked fundamental data across 5,500+ public companies with 14 years of history.

Its product suite spans Daloopa Data Sheets, the Excel Add-In, the Scout AI Excel agent, the Daloopa API, the MCP connector set, and Daloopa Cloud for Snowflake, Databricks, and AWS S3 delivery.