Can I reproduce a finding myself?
Yes. Every finding names the source, the exact bytes loaded by sha256, the source version, and the contributing row numbers. A human reviewer must be able to rerun the computation by hand.
Frequently Asked Questions
What happens if a supporting document is missing?
The claim becomes UNVERIFIED, which means nothing was checked. It is not a pass and it is not a finding against the seller — it is a gap you still have to close. Deleting a document can never manufacture a finding, and missing data is never guessed.
Does it use an AI model?
Not in the core path. The engine is deterministic and standard-library only, with no clock, no randomness, no network and no model call, so the same input yields byte-identical output every time.
Is this an audit?
No. PreDealCheck is an arithmetic reconciliation of stated claims against the source table each claim cites, prepared for a qualified human reviewer. It is not an accounting certification, a legal opinion, or an investment assessment.
Does it tell me whether to do the deal?
No. PreDealCheck does not provide investment advice: no buy or sell recommendation, no valuation, no statement that a deal is safe, and no fee contingent on a deal closing or failing. A human reviewer retains responsibility for assessing legal, technical, and business materiality.
Why doesn't it compute churn?
Period churn needs a starting cohort plus period events. See methodology for the full explanation.
Can it read a PDF or a data room?
Not today. PreDealCheck takes a bounded CSV or JSON manifest—claim records linked to the tables that support them. Document extraction is deliberately not built yet.
My number was right, so why is it not SUPPORTED?
Because the cited table measured a different period, basis or currency. Matching numbers across different definitions prove nothing, so PreDealCheck asks the question instead, marking the gap as DEFINITION_MISMATCH (an open question, not a contradiction).
Is it better than an analyst with a spreadsheet, or than ChatGPT?
Unknown; that comparison has not been run. The test that would settle it has three reviewers: a manual analyst, ChatGPT plus spreadsheet, and PreDealCheck, each solving the same case with independent measurement of errors, time, corrections, and checkability. This comparison has not been executed.
Where does my data go?
The engine makes no network call and runs locally on your machine. This limits data transfer but does not by itself make a deployment compliant; data-handling terms must be agreed before any real material is processed.
Is there a case study I can read?
PreDealCheck is new, and there are no published case studies yet. The check on the home page and the sample report show exactly what you would receive.
What does it cost?
Visit the pilot program for the first price experiment. It is a first-engagement price and it will rise once there are cases behind it.