From PDFs to Monte Carlo to Excel in 30 Seconds.

Drag-and-drop a CIM, 10-K, Debt Offering, Earnings Transcript... even your Notes. Get a fully dynamic, interactive, formula-linked DCF model in 30 seconds.

Drop Documents Here

Supported: Offering Memos, SEC Filings, Expert Network Transcripts, Debt Offerings, Notes

Built on Primitives. Not Hallucinations.

LLMs guess. AlphaCoding uses verified building blocks for economic and accounting concepts (how taxes work, how oil wells deplete, etc.). We map data to verified financial primitives (Python) before writing to Excel. Every cell includes a 'Source Link' back to the specific paragraph in the PDF.

Q3 Earnings Report

Revenue Performance:

Total revenue increased to $154.2M, representing a 12.5% YoY growth.

Operating expenses...

Line Item2023E
Revenue$137.1M
Revenue$154.2M
Growth %12.5%

Instant Audit Trail.

ABC
Revenue$154M12.5%

Show me IRR distribution if Exit Cap expands 50bps.

IRR Distribution

12%
13%
14%
15%
16%

Mean IRR: 14.2%

How would the company perform during the Great Financial Crisis?

Interrogate Your Model.

Stop breaking your Excel file with messy data tables. Use our Python Copilot to run Monte Carlo simulations, sensitivity analysis, and regime-switching scenarios instantly.

We Don't Replace Excel. We Get You Started.

The output isn't a black box. It's a native .xlsx file. Fully formatted. Formulas linked. Ready to send to your MD.

Deal Document

AlphaCoding Engine

Native .xlsx

Don't Just Model the Base Case. Stress Test the Nightmare.

Use our Python Engine to instantly backtest your deal against historical economic regimes or run 10,000 Monte Carlo iterations to visualize the true risk-reward profile.

Scenario Command Center

"How does this company perform if we hit a 2008 GFC scenario?"

Regime Switch

EBITDA Growth
Base Case
GFC
$140M$105M$70M
Q1Q2Q3Q4Q1Q2Q3Q4

Monte Carlo Simulation (10,000 Iterations)

5%10%15%20%25%

95% Confidence Interval: 8% - 22% IRR

Frequently Asked Questions