The AI-native operating layer for the work that doesn't fit one app.
● DOC CROC
Drop in the documents. Get back one record.
Doc Croc is document intelligence for the messy stack of paperwork every deal generates. Feed it bank statements, credit reports, titles, tax returns, and IDs — it extracts and structures them into one usable customer record.
· · What it reads · ·
● ANY DOCUMENT
The whole paperwork stack, structured.
Most of the work in a deal is reading documents and copying what's in them somewhere useful. Doc Croc does that part — accurately, at scale, and into one place.
Bank statements
Balances, deposits, recurring income, and cash-flow patterns pulled into a structured view.
Credit reports
Tradelines, balances, limits, inquiries, and derogatory marks captured from any bureau format.
Vehicle titles
VIN, owner, lienholder, brand, and jurisdiction extracted and validated against the asset record.
Tax returns
Income, schedules, and entity detail structured for underwriting and program matching.
IDs & documents
Identity documents and supporting paperwork read, structured, and tied to the right person.
Mixed packets
A folder of unsorted PDFs and photos sorted, classified, and routed to the right place in the record.
· · How it works · ·
● THE FLOW
From a pile of PDFs to one clean record.
01·Drop it in
Upload PDFs, scans, or phone photos — clean or messy, one file or a whole packet. No template, no pre-sorting, no naming conventions required.
02·It reads and classifies
Doc Croc identifies what each document is, then extracts the fields that matter for that document type — amounts, dates, names, account and identity details.
03·It structures
The extracted data is normalized into one consistent customer record, so a bank statement and a title speak the same language instead of living as separate files.
04·You get one record
Identity, finances, assets, and documents end up in a single usable record an operator — or the next workflow — can act on without re-keying anything.
· · Why it matters · ·
● THE PAYOFF
Less re-keying, cleaner packages.
- Stop re-typing the same numbers from a PDF into a form, then into a spreadsheet, then into a packet.
- One customer record instead of a folder of disconnected attachments nobody can search.
- Faster, cleaner lender and DMV packages because the underlying data is already structured.
- A human reviewer confirms the extraction before it drives any decision — accuracy over speed.
● READY?
Bring us the messy stack.
Tell us what documents you're drowning in. We'll turn them into one record you can actually use.