The Best AI Tools for Financial Modeling (Ranked)

“AI cannot do math.” This was the criticism of LLMs (Large Language Models) like GPT-4. And it was true. They were bad at arithmetic.

But in 2026, we have “Reasoning Models” and specialized agents that can model. Here are the best tools for automated financial modeling.

1. o11 (The Full-Stack Modeler)

Rank: #1 Why: It doesn’t just output numbers; it creates Excel files. o11 builds fully linked, formula-based models. Input a 10-K, and it generates a 3-statement model with hardcodes in blue and formulas in black. It understands circular references, debt schedules, and balancing the balance sheet.

2. Endex (The Copilot for Quant)

Rank: #2 Why: Incredible for searching text within filings and extracting it to Excel. Endex is great at the “extraction” phase—getting the historical data right. It is less focused on the “projection” phase than o11, but very strong on data fidelity.

3. Rows.com (The New Spreadsheet)

Rank: #3 Why: A reimagining of the spreadsheet with AI built-in. Rows is amazing if you are willing to leave Excel. It has built-in integrations to APIs and AI. Great for startup modeling, but hard to use for traditional banking deals where .xlsx is the requirement.

4. Microsoft Copilot in Excel (The Helper)

Rank: #4 Why: Python integration. Copilot’s “Python in Excel” feature is powerful for advanced analytics and regression analysis. However, for building a standard M&A model, it often struggles to structure the layout correctly.

The “Toy” vs “Tool” Distinction

Many tools demo well. They create a simple DCF based on 3 inputs. But real deal modeling is messy. It involves uneven periods, stub years, and complex debt tranches.

o11 is designed for this messiness. It builds models that a VP can actually review and audit.

Build your next model with o11.