FinanceGPT is an AI-for-finance platform for financial modeling, analysis, forecasting, valuation, research, reporting and governed financial workflows. Turn financial data and plain-language instructions into reviewable models, reports and decision-ready financial work.
AI finance tools for: Financial Modeling · Financial Analysis · Forecasting · Valuation · Cash Flow Analysis · Financial Statement Analysis · Credit Analysis · Equity Research · FP&A
Base case cash remains positive through the forecast period. The largest sensitivity is gross margin: a 4-point decline reduces year-two ending cash by approximately $620k in this example.
FinanceGPT combines financial data, quantitative methods, generative AI and controlled workflows for modeling, analysis, forecasting, valuation, reporting and other real financial work.
What AI for finance means in FinanceGPT
Start with the finance task you need to complete. FinanceGPT connects plain-language instructions to financial data, calculated models, analysis, forecasts, scenarios and reviewable outputs.
Build structured financial models with explicit drivers, assumptions, scenarios and checks.
Explore → FINANCEGPTFinancial AnalysisAnalyse statements, margins, working capital, liquidity, cash and performance movements.
Explore → FINANCEGPTFinancial ForecastingForecast revenue, costs, cash and operating performance from explicit drivers.
Explore → FINANCEGPTCash Flow AnalysisUnderstand cash generation, runway, liquidity and the drivers behind cash movement.
Explore → FINANCEGPTFP&APlan budgets, forecasts, scenarios, variances and management-ready finance work.
Explore → FINANCEGPTValuation AnalysisBuild valuation work with transparent assumptions, sensitivities and scenarios.
Explore → FINANCEGPTScenario AnalysisTest base, upside, downside and sensitivity cases against the financial model.
Explore → FINANCEGPTManagement AccountsExplain revenue, margin, costs, working capital and period-on-period performance.
Explore → FINANCEGPTFinancial Statement AnalysisTurn financial statements into reviewable performance, cash and balance-sheet analysis.
Explore → FINANCEGPTCredit AnalysisUse financial evidence to examine leverage, liquidity, cash generation and credit-relevant risks.
Explore → FINANCEGPTBoard ReportingTurn models, forecasts and analysis into concise decision-ready financial outputs.
Explore → FINANCEGPTEquity ResearchMove from company and market research into portfolio-oriented investment intelligence.
Explore →This walkthrough uses example data. It mirrors the way FinanceGPT organizes a Build: start with the question, add financial evidence, calculate the model, explain what changed and prepare the output.
FinanceGPT can start from the information you already work with. Uploaded evidence stays distinguishable from assumptions and calculated outputs.
Your instruction becomes the Build goal. FinanceGPT can route the request into modelling, forecasting, analysis and deliverables while keeping the work together.
Build a three-statement model from these management accounts. Forecast the next 24 months, show cash runway under three scenarios, and explain the main risks for the board.
I’ll structure this as a financial model with historical normalization, explicit forecast drivers, integrated statements, cash-runway scenarios and a board-ready summary. You will be able to review assumptions before using the outputs.
The explanation is attached to calculated financial work. Scenarios and assumptions stay visible so the user can challenge the result.
| FY26A | FY27F | FY28F | |
|---|---|---|---|
| Revenue | 6.9 | 8.4 | 10.1 |
| EBITDA | 0.9 | 1.6 | 2.2 |
| Ending cash | 0.9 | 1.3 | 2.0 |
What matters: margin compression and slower collections create the largest downside to cash in this example.
A Build can move from calculations into reusable outputs while keeping the financial context attached.
Describe the financial outcome you need. FinanceGPT helps connect the instruction to financial data, assumptions, calculations, scenarios and deliverables so you can move from an idea to reviewable work in one Build.
Start freeStructure historical data, assumptions, drivers, statements and valuation logic.
Understand performance, margins, liquidity, cash and the movements behind the numbers.
Test what happens next with explicit drivers, scenarios and sensitivities.
Turn the work into reviewable finance outputs for decisions and communication.
Choose the work. FinanceGPT handles the path.
Turn assumptions, historical data and business drivers into a structured financial model.
Explore → FINANCE WORKFinancial analysisUnderstand performance, movements, margins, liquidity and the financial story behind the numbers.
Explore → FINANCE WORKForecastingBuild forward-looking revenue, cost, cash and operating forecasts from explicit drivers.
Explore → FINANCE WORKValuationBuild valuation work with explicit assumptions, scenarios and sensitivity analysis.
Explore → FINANCE WORKBudgeting & FP&ATranslate plans into budgets, scenarios, variances and management-ready finance work.
Explore → FINANCE WORKDecision-ready outputsMove from calculations into reviewable reports, spreadsheets and presentation-ready financial outputs.
Explore →Start free with FinanceGPT Explore and move from financial data to a working Build.
AI FOR FINANCE
FinanceGPT connects AI to financial data, calculations, models, evidence and reviewable workflows. These short answers cover the questions people most often ask when evaluating AI for financial work.
Yes. Purpose-built financial AI can support financial modeling, statement analysis, forecasting, FP&A, valuation, research, reporting and controlled financial workflows. FinanceGPT is built specifically for this kind of financial work.
Finance-focused AI assistants exist, but professional financial work needs more than chat. FinanceGPT connects plain-language instructions to financial data, quantitative methods, calculations, models, evidence and reviewable outputs.
The best choice depends on the job. Evaluate financial AI on data grounding, quantitative capability, calculation transparency, reviewability, governance and fit for the workflow—not conversational fluency alone.
Start with practical finance workflows such as financial statements, forecasting, modeling, valuation, research and reporting. Then learn how to evaluate model outputs, data quality, evidence, governance and financial controls.
