Daloopa Launches Scout: The Excel-Native AI Agent Automating Financial Modeling

Quick Summary

Daloopa Scout is an AI-powered Excel agent designed to automate AI financial modeling for equity research professionals. By leveraging a verified database of 6,000 public companies, it allows analysts to build, update, and compare financial models using plain-language prompts directly within their existing Microsoft Excel workflows.

How Does Daloopa Scout Automate Financial Modeling?

AI financial modeling enters a new phase of efficiency with Scout, which functions as a native agent within the Excel environment. Instead of manually pulling data from complex SEC filings, analysts can now use plain-language commands to generate entire models from scratch. The tool is specifically built for analysts by industry veterans, ensuring that the output aligns with the rigorous standards required by top-tier financial institutions. Key features include:

• Quick-start prompts for rapid model generation.
• Customizable Skills to save and reuse complex modeling logic.
• Automated earnings updates that refresh models instantly after a company reports.

By front-loading data extraction, Scout allows investment teams to focus on high-level strategic judgment rather than the administrative burden of data entry. The platform's ability to compare industry peers through simple chat commands significantly reduces the time required for comprehensive sector analysis.

Why is Data Traceability Critical for AI Financial Assistants?

The primary barrier to adopting AI financial modeling has historically been the "black box" nature of AI outputs. Daloopa solves this by grounding Scout in a structured, verified database covering over 6,000 global companies. Every data point generated by the AI is hyperlinked to source documents, providing instant audit-ready transparency without requiring the analyst to leave their spreadsheet. This traceability and accuracy ensure that the speed of AI does not come at the cost of institutional-grade data integrity.

Analysts can verify each figure by simply clicking the link, which takes them directly to the specific line item in the original filing. This closed-loop verification system is essential for maintaining financial rigor during high-stakes investment decisions. Furthermore, the tool includes default formatting settings, ensuring that all AI-generated content matches the firm's specific branding and modeling preferences automatically.

What Results Has Daloopa Delivered for Equity Professionals?

By integrating AI financial modeling directly into the daily workflow, Daloopa is helping firms manage massive datasets efficiently. The platform currently supports data for 6,000+ public companies, providing a scale that manual teams struggle to match. Success metrics for the platform include:

• Zero-manual-entry modeling for thousands of global equities.
• Instantaneous model updates following quarterly earnings releases.
• Direct source linking for 100% of extracted financial metrics.

"Analysts should spend their time applying judgment, not on the manual, error-prone work of building and updating models," said Thomas Li, CEO of Daloopa. "Scout brings us closer to that vision by combining AI with verified data directly in Excel, giving analysts greater speed without sacrificing the rigor their work demands."

FF NEWS TAKE:

The launch of Scout marks a pivotal moment where AI financial modeling moves from a research curiosity to a core production tool. By keeping the experience native to Excel, Daloopa avoids the friction of new platform adoption while solving the critical issue of AI data hallucinations through its verified data layer. This "human-in-the-loop" automation is exactly what the institutional finance sector needs to move the needle on productivity.