Yang – Growth
Income, assets, investments, future. The inflows that build tomorrow, read from every credit on every page.
Financial Intelligence & Underwriting
FinYang AI reads any bank statement from any bank in any country and turns it into a verified ledger, clear cash-flow analytics, credit underwriting models and forensic intelligence — in minutes, not days.
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How it works
Drop in statements as PDF, scanned image or CSV — one account or twenty, one month or two years. Password-protected files, mixed banks and overlapping periods are handled.
A deterministic layout parser reads digital statements; cloud OCR catches scans. Every ledger is reconciled against the statement’s own printed opening balance, closing balance and totals — a document that does not add up is never presented as if it did.
Monthly income statement, net cash flow, recurring debt service, facility usage and conduct signals. Affordability, debt-service-cover ratios, and forensic balance continuity are computed once and shown the same way on every screen and export.
An AI underwriting memorandum and forensic audit grounded only in verified figures, a chat that answers from the ledger itself, and one-click exports to PDF, Word, Excel and Markdown.
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The FinYang idea
Every financial life is a balance between what grows it and what protects it. FinYang AI reads both sides of your statements and shows them in harmony.
Income, assets, investments, future. The inflows that build tomorrow, read from every credit on every page.
Expenses, liabilities, protection, today. Debt service, fees, fraud detection, conduct signals and the cash you must keep on hand.
Bringing every part of your financial life into harmony: verified numbers, honest ratios and decisions you can stand behind.
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One engine, three questions
A bank statement is evidence, and what it proves depends on what you are asking. FinYang AI reads it once and answers in the register you actually need — with a different analyst, a different dashboard and a different report in each mode.
Every mode reads the same verified ledger. What changes is the question, the dashboard and the report.
Lenders, credit desks
The question
Can they afford it, and will they repay?
What it computes
Affordability, debt-service cover, runway and conduct, against your own DSCR covenant and decline thresholds.
What you get
A credit memorandum with a defensible recommendation, naming the months it could not verify.
What it will not do
Apply our lending appetite instead of yours.
Owners, finance teams
The question
Where did a year of money actually go?
What it computes
Category and counterparty breakdowns, income, runway and seasonality across the whole period.
What you get
An operating picture in plain language, with every figure traceable to its transactions.
What it will not do
Use one word of credit language — nobody here is applying for anything.
Investigators, AML teams
The question
Is this document honest, and is this money clean?
What it computes
Balance continuity, structuring, layering, pass-through velocity and source-of-funds signals.
What you get
A forensic pack listing each signal with the exact lines behind it.
What it will not do
Reach a verdict about a person. Signals are reasons to look, not conclusions.
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What it finds
Every one of these is computed from the verified ledger and cites the transactions it came from. Nothing is inferred from a summary — they are reasons to look at named rows.
Computed on every forensic run Balance continuity · Structuring · Same-day splits · Reference series · Peer layering · Test deposits · Pass-through · Round-sum velocity · Payer concentration · Cash intensity · Returned debits · Overdraft strain · Payday lenders · Duplicate statements · and more
Signals for review, never a verdict about a person.
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Built for anywhere
FinYang AI does not assume where a statement comes from. It reads the letterhead, the regulator line, the currency and the date format and places the document in the right region automatically — then formats every figure the way you expect.
Currencies & regions
Statement text is the only input. No manual country selection required — set one when you want to pin it.
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What you get
Eighteen capabilities, grouped by the three things the system actually does: read the document, compute the numbers, and answer for them.
Column-aware parsing that reads the ledger the way it is printed — newest-first, column-major, split-page and overlaid layouts included.
Every period is checked against the bank’s own opening, closing and turnover figures. Partial or unverifiable documents are labelled, never hidden.
Phone photographs and faxed scans go through cloud OCR with spatial layout reconstruction. Password-protected and encrypted PDFs are read where the structure allows, and clearly reported where it does not.
The same statement uploaded twice, overlapping months, and two accounts printed on one page are all detected and separated — so a period is never counted twice and a total is never quietly inflated.
Documents are read page by page and resumed automatically where a run stops, so length is not a ceiling — a hundred process at once and the queue simply carries on. Long statements, whole years and multi-account files go in together and come back as one reconciled ledger.
Descriptions are read as tokens and counterparty names, not against an English word list. Written month names, comma-decimals, lakh grouping and non-Latin scripts are all handled — a new language is a table entry, never a code change.
Monthly performance, net movement, debt service, runway and debt-service cover across your accounts — computed once, shown everywhere.
Detect altered balance chains, sudden fund dissipation, round-sum velocity, split transactions, and suspicious sweeps with mathematical continuity checks.
Automated source-of-funds verification, KYC provenance tracing, pass-through velocity analysis, and regulatory structuring flags for compliance teams.
Overdraft strain, bounced debit orders, loan repayments, high-velocity cash sweeps and policy thresholds highlighted automatically.
A dashboard per mode, not one dashboard with things hidden. Monthly performance, ratios and signals, every figure computed once and identical on screen and in the export.
DSCR covenant, minimum runway, debt-to-income ceiling, margin over base rate, industry focus and written lending criteria — set once and applied to every assessment. Non-lending modes hide them without discarding them.
A structured credit memorandum written only from verified figures, assessing debt-service capacity, runway, and risk thresholds — cross-audited by an independent AI reviewer.
Ask anything — “largest recurring debit?”, “debt service cover with the proposed loan?”, “show every round-sum cash deposit” — and the assistant queries the ledger itself and answers with the transactions that prove it.
One click. The credit memorandum or forensic pack as a formatted PDF or Word file, the full structured ledger and every metric as a real Excel workbook — money as numbers, dates as dates.
Executive summaries, credit memos and transcripts to PDF, Word, Excel, CSV and Markdown. An admin vault keeps every AI interaction for compliance review.
Record what the numbers cannot say — the trade, the season, the one-off contract, the reason last March looks wrong. It is carried into every memorandum and marked as your context, never mistaken for measured evidence.
Running on the current generation of frontier AI models, named in one place and verified against the live API — so a provider deprecation is caught before it reaches a customer, not after.
It cannot invent a figure it did not read.
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Who it is for
The same document decides a loan, exposes a fraud, settles a dispute and explains a year of trading. FinYang AI is built for all four, and knows which one you are doing.
Affordability and debt-service cover against your own covenants, with a memorandum that says why — and names the months it could not verify.
DSCR 1.84× · 12/12 months verifiedStatement integrity, laundering typologies and asset dissipation, every finding traceable to the lines it came from — which is what survives being questioned.
every finding cites its rowsSource-of-funds review, structuring and pass-through checks measured against the reporting threshold of the country the statement was actually issued in.
threshold read from the issuing jurisdictionWhere a year of money actually went, by category and counterparty, with runway and seasonality — no credit language, because nobody is being assessed.
12 months · by category and counterpartyA structured, reconciled ledger out of a client’s pile of PDFs, categorised and exportable to Excel in one pass instead of an afternoon of retyping.
reconciled ledger → Excel, one passDisclosure that runs to hundreds of pages, read in full and reconciled to each statement’s own printed totals — with the arithmetic shown rather than asserted.
no page limit · arithmetic shown08
Security
Built for lenders, finance teams and operators who answer to regulators.
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Transparent plans
Choose the plan that fits your statement analysis volume. Start free, upgrade when you need to.
Try it properly with weekly evaluation.
Most popular
For teams & individuals analyzing regular statements.
For high-volume teams and enterprises.
Billed monthly in USD or EUR. Cancel anytime with 1 click. Backed by our 14-day money-back guarantee.
Upload a statement and see the whole story — growth, control and the balance between them.
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