Daloopa Launches Scout AI Agent for Financial Modeling in Excel

September 09, 2026
Daloopa has released Scout, an AI agent that creates and updates financial models directly in Excel using plain language prompts and verified company data.

Daloopa announces the general availability of Scout in a press release, an AI agent that creates financial models directly in Excel. Users can enter plain language prompts to build models from scratch, update existing models after earnings reports, and compare companies within an industry.

Scout uses structured and verified data from Daloopa's database, which covers more than 6,000 public companies worldwide. Figures in its models include hyperlinks to their original sources for review and traceability.

The agent also offers quick start prompts, chat history, and default settings for formatting and modeling preferences. Users can save frequently used prompts as custom Skills.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI in Finance AI Brief AI Brief (X)

More from: Finance

09/09
Truist Deploys AI Call Summaries Across Care Centers
09/09
Deloitte Survey Finds Finance Leaders Favor Human Oversight for AI Agents
09/09
Kapital Raises $125 Million for AI Platform and Global Expansion
09/09
Nomentia Expands Smart Treasury Suite With AI Agents
09/09
Bybit Launches AI Assistant for Trading and Account Tasks

Subscribe to Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You May Also Like