dbot

Valuation desk

Read the report.Inspect the model.

Choose a supported public company and add your thesis. DBOT researches the business, writes the report, and gives you the working Excel model.

Create a report · $8
1 report$8
3 reports$20about $6.67 each

Introductory pricing for a limited time. No subscription.

A complex report can use close to one million tokens, mostly with frontier models. The price covers the run.

Loading the sample report

Fetching the real report, figures, and workbook preview.

What happens after you click run

DBOT is a first-pass research and valuation tool for supported public companies. You provide the ticker, your thesis, and the questions you want answered.

It reads recent filings and disclosures, checks news and market data, chooses a valuation method for the business, builds the model, and tests the assumptions that move value most.

01

Research

Reads recent filings, company disclosures, news, and market data. It checks the evidence for and against your thesis.

02

Method

Chooses a valuation method that fits the business and identifies the assumptions that matter most.

03

Valuation

Builds the forecast and model, then tests the inputs that move the estimated value.

04

Delivery

Returns a sourced written report and an editable Excel workbook built from the same assumptions.

You can check the work

Treat the result as a first draft, not a recommendation. Check the sources, challenge the assumptions, and change the workbook where your view differs.

Evidence
The report links to the filings and research it cites.
Method
The report names the valuation method and explains why it fits the company.
Assumptions
The report writes out and tests the assumptions that matter most for the chosen method.
Workbook
The formulas and editable inputs are in the Excel file.
Judgment
You provide the thesis, review the conclusion, and decide what to change.

The valuation methods are based on Aswath Damodaran’s published frameworks. DBOT grew out of research by Vasant Dhar and João Sedoc at NYU Stern. Read the paper.

For investment teams and classrooms.