Data extraction
Stage 01 of 06
A pile of PDFs is not a financial model. This is where it becomes one.
Upload statements, a QuickBooks export, or a one-page teaser. Value Alpha reads the figures out, standardises them into comparable line items, records where each one came from, and checks the result before any of it reaches a valuation.
01 · What it does
Every deal starts by turning someone else's accounting into your own: line items named differently, periods that do not align, add-backs in the footnotes.
That is the part the AI does.
Reading and structuring documents is what it is good at, and none of it decides what the business is worth.
Every figure keeps its page
Each extracted number records the document and line it was taken from, so a figure can be checked rather than trusted.
Checked before it counts
The balance sheet must balance, gross profit must tie to its components, cash flow must reconcile. These are accounting rules, not judgement calls.
Anything odd is flagged, not absorbed
A working-capital movement that does not match revenue growth surfaces as a question before it silently changes the valuation.
02 · In the product
Standardised statements, with the source trail attached.
Extraction · standardised income statement
Illustrative
03 · What it takes
Send what you have, in whatever shape it is in.
PDF and spreadsheet financials, including QuickBooks exports. Three years of profit and loss and balance sheet is ideal. A one-page teaser is enough to begin, a first-pass range from a teaser is a legitimate use of this, and often the most valuable one.
Nothing has to be uploaded twice. Documents land in the data room on their way through, so the next valuation for the same business starts from what is already there.
Send us a set of statements.
We will show you what comes back, what got flagged, and where each figure was read from.
