Daloopa

AI Platform for Automated Financial Data Extraction and Modeling

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What is Daloopa

Daloopa is an AI platform designed for financial professionals, focusing on automating financial data extraction and modeling. This enables stock research analysts, investment professionals, and corporate finance teams to build accurate and dynamically updated financial models more efficiently. The database covers over 5,500 listed companies worldwide, providing up to 14 years of historical data, with each company's data points being 4 to 10 times more than other suppliers. The entire process from data extraction to delivery is driven by AI, significantly reducing the time and errors associated with manual transcription of financial reports.

Key Features and Use Cases

Daloopa completed a $47 million Series C funding round led by Brighton Park Capital in 2026 and has made its data available to AI applications like ChatGPT, Claude, Perplexity, and Rogo through the Model Context Protocol connector. It is most suitable for buy-side and sell-side research teams that require large amounts of precise financial data. Common use cases include quickly establishing or updating financial models, automatically converting listed company financial reports into structured data, performing peer comparison and valuation analysis, and feeding high-quality financial data into in-house AI workflows.

Key Features

  • AI-powered automated extraction of financial reports and data
  • Covers over 5,500 listed companies worldwide with up to 14 years of history
  • Each company's data points are 4 to 10 times more than other suppliers
  • Supports dynamically updated financial models
  • Integrates with ChatGPT, Claude, and other AI applications via MCP

Pros

  • Significantly reduces time spent on manual transcription of financial reports
  • Wide coverage, deep history, and high precision of data
  • Can be integrated with mainstream AI workflows

Cons

  • Pricing requires consultation, leaning towards enterprise users
  • Primarily focuses on listed companies, limited private company data
  • High barrier for individual investors

Use Cases

  • Quickly establish or update financial models
  • Automatically convert financial reports into structured data
  • Perform peer comparison and valuation analysis
  • Feed financial data into in-house AI workflows

Editor's Note

Editor's Note: Daloopa automates the painful process of manual financial report transcription for analysts, with its strength lying in the depth and precision of its data. It is clearly positioned as a tool for professional teams, making it less suitable for individual investors.

FAQ

Is Daloopa suitable for individual investors?

Daloopa is primarily aimed at professional stock research and corporate finance teams, with pricing upon consultation, making it less accessible to individual investors due to higher costs and barriers.

Can Daloopa integrate with AI tools?

Yes, Daloopa integrates with AI applications like ChatGPT, Claude, Perplexity, and Rogo through the Model Context Protocol connector, making its financial data available for use.

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