Turn portfolio company documents into structured financials
Upload statements, agreements, and certificates; the agent extracts the numbers and cites the source for each one; the analyst confirms what is trusted.
The hardest part of monitoring private companies is getting clean data out of the documents they send. Statements arrive as PDFs and Excel files in every format imaginable, and someone has to turn them into numbers a model can use.
Varanic does the extraction and keeps the human in control of what is trusted. Upload financial statements, credit agreements, or compliance certificates; the agent extracts the values into a structured schema and cites the exact page or cell for each one. The analyst reviews each figure against the source, and confirmed values lock so re-extraction can never quietly overwrite them.
How it works
- Ingest PDF, Excel, and CSV statements and agreements
- AI extraction into a consistent financial schema, with a source citation per value
- Restatement detection across filings
- A confirmation guard: once a human confirms a cell, no later extraction can overwrite it
- GAAP sign-and-balance sanity checks that flag obvious errors before they land
Why it is different
Extraction without verification is just a faster way to be wrong. Varanic pairs the extraction with human confirmation and full provenance, so the data downstream (valuations, benchmarks, LP reports) is trustworthy.