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AI-Powered Financial Modeling for Modern Teams

Build, run, and maintain financial models with precision. Powered by ModelingAnalyst — an AI co-pilot that understands corporate finance, explains every calculation, and never breaks a formula.

Financemodel.ai platform showing a DCF valuation model with ModelingAnalyst AI co-pilot, financial data tables, and scenario analysis
SOC 2-aligned
99.9% Uptime
SSO / SAML
Full Audit Trail
431+
Financial Models
10
Model Families
43+
Model Groups
<100ms
Avg Execution
Platform Capabilities

Purpose-Built for Financial Modeling

Not a spreadsheet replacement — a better foundation for financial analysis with AI that understands corporate finance.

ModelingAnalyst AI Co-pilot

Describe your analysis in plain English. ModelingAnalyst builds models, extracts data from documents, explains calculations, and guides you through every step.

Spreadsheet-Based Interface

A familiar, structured spreadsheet experience purpose-built for financial modeling. Multi-sheet models with proper input/calculation/output separation.

Scenario & Sensitivity Analysis

Run base, bull, and bear cases across key assumptions. Switch scenarios instantly — the entire model recalculates with scenario-specific inputs.

Full Audit Trail & Governance

Every calculation, assumption, and change is fully traceable. Version control, approval workflows, and immutable audit logs for compliance.

Document Extraction

Upload annual reports, pitch decks, or financial statements. ModelingAnalyst automatically extracts data and populates model assumptions.

Real-Time Collaboration

Multi-user editing with presence awareness, comments, and conflict resolution. Work on models together, in real time.

Model Library

431+ Professional Models Across 10 Families

From valuation to risk analysis, M&A to financial engineering — comprehensive coverage for every finance workflow.

Valuation

45 models

DCF, comparables, precedent transactions, and sum-of-parts valuation models

5 specialized groups

Corporate Finance

42 models

Financial statements, capital structure, working capital, and treasury management

5 specialized groups

FP&A

38 models

Budgeting, revenue forecasting, variance analysis, and rolling forecasts

4 specialized groups

Venture Capital

32 models

Startup valuation, cap tables, runway calculators, and venture economics

3 specialized groups

Private Equity & M&A

48 models

LBO models, merger analysis, accretion/dilution, and deal structuring

5 specialized groups

Risk & Sensitivity

15 models

Monte Carlo simulation, stress testing, VaR, and scenario analysis

3 specialized groups

Financial Engineering

156 models

Derivatives pricing, fixed income, portfolio theory, and quantitative models

7 specialized groups

Capital Markets

30 models

IPO pricing, debt issuance, equity offerings, and capital raising models

4 specialized groups

Decision & Governance

25 models

Investment committee frameworks, board reporting, and governance models

4 specialized groups

Advanced & Meta

52 models

Industry-specific, real options, and meta-model frameworks

4 specialized groups

Popular models: DCF (FCFF) · LBO · 3-Statement · Merger Model · Revenue Build · Budget Model · Scenario Analysis · Black-Scholes · WACC · Cap Table

How It Works

From Conversation to Financial Model

ModelingAnalyst handles the complexity while you focus on business decisions. Human-in-the-loop by design.

1

Describe Your Analysis

Tell ModelingAnalyst what you need in plain language — "Build a DCF for a SaaS company with $10M ARR."

2

Upload Documents (Optional)

Attach financials, pitch decks, or data files. ModelingAnalyst extracts relevant assumptions automatically.

3

Confirm Assumptions

Review every input before calculations run. You always remain in control — human-in-the-loop by design.

4

Review & Iterate

Explore the model in the spreadsheet interface. Run scenarios, adjust assumptions, and generate board-ready reports.

AI-Powered

ModelingAnalyst: Your AI Financial Co‑pilot

Not generic AI — ModelingAnalyst understands GAAP, knows what WACC means, and is trained on corporate finance methodology. It builds complete models, explains every output, and always confirms before executing.

Build complete financial models from scratch
Extract data from uploaded documents (PDFs, Excel, pitch decks)
Run calculations with sub-100ms execution
Create multi-scenario analysis with base, bull, and bear cases
Generate board-ready reports and Excel exports
Explain every calculation in plain English
You
Build a DCF for a SaaS company with $10M ARR growing at 30%

Creating a Standard DCF Model (FCFF)

I'll build a 5-year projection with these assumptions:

  • • Revenue: $10M ARR → 30% CAGR
  • • Terminal growth: 3%
  • • WACC: 12% (SaaS median)
  • • EBITDA margin expansion: 15% → 25%

Confirm assumptions to proceed →

Enterprise Ready

Built for Teams That Build Models

Enterprise security, integrations, and a Python SDK for teams that need programmatic access.

Enterprise Security

SOC 2-aligned, SSO / SAML 2.0, end-to-end encryption, role-based access, and data residency options.

API & SDK

Python SDK and REST API. Run any model programmatically. Excel Add-in brings models directly into your spreadsheets.

Integrations

Connect QuickBooks, Xero, SAP, Oracle, NetSuite, Slack, and Google Workspace. Custom connectors for Enterprise.

Frequently Asked Questions

Ready to upgrade how your team builds financial models?

Move beyond fragile spreadsheets. 431+ models, AI co-pilot, full audit trail, sub-100ms execution.