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Financial modelling
Build And Update ComprehensiveFinancial Models

Transform days of financial modelling work into minutes with AI. Create detailed three-statement models, run valuation analysis, build merger models and more with minimal effort and professional-grade quality to focus on what really matters

Financial Modeling
Platform capabilities
Financial ModellingFeatures & Capabilities

Comprehensive financial modelling capabilities with industry-standard precision and best practices

Three-Statement Models

Easily build detailed three-statement models: income statement, balance sheet, and cash flow with automated linkages, scenarios, and sensitivity analysis

Valuation Layer

Add comprehensive valuation analysis including DCF (FCFF, FCFE), IRR, LBO, AVP and other valuation methodologies

Merger & Aggregation Models

Build merger and aggregation models consisting of smaller models seamlessly

Coming Soon

Custom Analysis

Add specific custom analysis tailored to your unique requirements and investment thesis

Coming Soon

Intelligent Assumptions

Let AI find assumptions and information that is most relevant to make data-driven modeling decisions

Designed for Accuracy & Best Practices

Eliminate common errors with well-formatted, easy-to-audit models built on industry best practices

How it works
From Company Selection To Comprehensive Financial ModelIn Minutes, Not Days
1

Tell Us What Company You Want to Model

Simply tell us what company you want to model - whether public or private

2

Information Gathering & Analysis

Financial Modeling Agent takes a couple of minutes to find information in public sources, our internal databases, and paywalled systems (to which we have access). Once information is collected, it is thoroughly analyzed

3

Review Modelling Plan

Once the analysis is finished, the agent comes back to you with a detailed plan on how to model every single line of financial statements. You can either simply confirm it or easily change any line to different modelling logic and submit for further processing

4

Model Building & Assumptions

The model is built in seconds and then Financial Modeling Agent works on deriving the most relevant assumptions (by analyzing historical trends, industry dynamics, earnings call transcripts, news, MD&A etc.) and puts those assumptions to the model. This usually takes another couple of minutes

5

Information Gathering & Analysis

After this, you can easily download an Excel (LibreOffice/Google Sheets) file with a full-scale detailed model containing three statements with detailed modelling of every line, and your preferred valuation analysis (DCF, IRR, LBO, AVP...). All this in minutes with minimum effort and confidence that your model has no linking errors, is well-formatted, auditable, and incorporates industry best practices

6
Coming Soon

Iterate & Refine

If you would like to implement changes to the model, you can do so using our chat interface or our plugins (in test mode)

Use cases
Empowering Professionals And Individuals To MakeBetter Investment Decisions

Investment Banking / Corporate Development

  • Build comprehensive financial models for pitch decks or M&A transaction execution with professional-grade quality
  • Generate essential outputs including "Football Field" valuation charts, sensitivity analysis tables, and scenario comparisons in minutes with confidence

Investment Funds

  • Easily build detailed financial models to identify and evaluate investment opportunities
  • Monitor portfolio companies
  • Deploy sophisticated investment strategies by understanding valuation levels across markets and sectors
  • Effortlessly keep models up to date each quarter, half-year, or year as new results are released
Works With BothPublic And Private Companies

For public companies, Financial Modeling Agent downloads information from public domains and paywalled databases (to which we have access)

Public domain sources and SEC filings*
Paywalled databases (to which we have access) and research platforms
Earnings and investor presentations
Event call transcripts and news

* See FAQ below on this page for more details for non-SEC filing companies

For private companies, users can either upload files and AI will extract information, or upload information in a predefined format.

Upload any format - AI extracts and structures
Review and confirm extracted data
Use pre-formatted templates
Combine internal data with market intelligence
Next steps
What's Next forFinancial Modelling Agent

Continuous innovation to make the Financial Modelling Agent even more useful

Automatic Model Updates

Every quarter, half-year, or year it is likely that you'll have to update your model with newly issued numbers. Financial Modelling Agent can take care of this and analyze latest reporting, transcripts, and news and update your spreadsheet saving you tons of time

Sector Specific Datasets

Advanced models for specific sectors with relevant metrics and paywalled data sources

Aggregation and Merger Models

Build complex models combining multiple subsidiary/segment models and Advanced M&A modelling with accretion/dilution analysis and other relevant metrics

Support for Financial Institutions & REITs

Specialized modelling for banks, insurance companies, and REITs with relevant metrics

Automatic Financials Download

Support for non-SEC filing companies globally

Excel Plugin

Direct integration within Excel for seamless workflow

Support for Complex Custom Instructions

Multi-step custom modelling of complex logic tailored to your needs

API Access

Integrate Financial Modelling Agent into your existing systems

Support for Custom Templates

Use your own templates and formatting preferences

FAQ

Find The Answers You Need

Quick answers to the questions that come up most

Does the agent work as a web-based solution or an Excel plugin?

Currently, the agent runs in your browser, mimicking a standard spreadsheet and displaying all outputs there. We're working hard to make this web-based spreadsheet as functional as possible. We're also developing an Excel plugin for users who prefer to work directly in Excel

How accurate are the models?

Like any AI product, there is always some risk of "hallucinations," but we've designed our solution to minimize this. That required certain trade-offs (which we offset with other techniques), because we believe accuracy is critical in model building. As a result, our approach delivers one of the most accurate AI products available. We also make the models very transparent, so users can easily audit them once they receive the first draft

Can I use my own assumptions?

Absolutely. You can modify any assumptions and any processing line — you're always in control. Even though it may look like Financial Modeling Agent does everything, in reality the agent makes suggestions and only builds after you confirm or adjust them. You have full control over all inputs and can adapt them to your own views and preferences

How long does it take to build a model?

The agent itself typically takes a couple of minutes to download data, analyze it, and propose an action plan with suggestions, and another couple of minutes to determine an initial set of assumptions. In total, the agent's work usually takes about 5–10 minutes

However, the full process from start to finish may take longer, depending on your preferences and your knowledge of the company or companies you model. If you're doing fundamental analysis on an unfamiliar company, expect to spend a couple of hours (depending on company complexity and desired depth) understanding the business and refining your assumptions. This part can't really be automated, but the agent still saves you days or even weeks of manual work

What types of analysis and valuations are supported?

Financial Modeling Agent supports:

  • DCF (Discounted Cash Flow) using both FCFF and FCFE
  • LBO (Leveraged Buyout)
  • IRR (Internal Rate of Return)
  • Analysis at Various Prices (AVP)
  • Other share-related metrics

We're continually adding new options based on user feedback and can consider custom valuation approaches. You can also combine multiple approaches within a single model

Do you support non-US companies?

Yes. The agent is agnostic to company type and geography — public or private, US or non-US. However, there are some practical differences.

For US public companies (and non-US companies filing with the SEC), we can reliably source data from multiple providers with high confidence in data quality. For non-public and non-SEC-reporting companies, financials and other reports are not always easily accessible or machine-readable.

We're training our agents to retrieve these financials automatically, but for now we rely on users to upload such data to avoid errors and frustration. We expect to soon offer highly precise automatic data retrieval for public companies. For private companies, users will still need to upload data, since it's usually impossible to obtain it without internal access

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