Integrations
Vyaso runs on the data your stack already produces.
Whether you parse with Ocrolus, Heron Data, Validis, or upload raw PDFs and CSVs, Vyaso reads the output and re-underwrites it. We are not the parser. We are the layer that re-underwrites what the parser produced.
The two layers, clearly.
The parser layer
What is each transaction?
Tools like Ocrolus, Heron Data, and Validis read the raw bank statement, extract transactions, normalize dates and amounts, categorize merchants, and produce clean structured data.
Transaction extraction · Description normalization · Counterparty resolution · Category labels
The underwriting layer
Do these transactions add up to revenue you can fund against?
Vyaso reads the parser's output and re-underwrites it, surfacing loan stacking, account kiting, circular flows, daisy-chain inflation, and forgery indicators. Then produces an adjusted-revenue figure and a risk score.
Loan stacking detection · Account kiting · Daisy-chain inflation · Adjusted revenue · Executive summary
Run them together. They answer different questions.
Side by side
The same statement, two outputs.
What a parser produces, and what Vyaso produces from it. On the same bank statement.
Parser output (typical)
Clean, structured, normalized. Six rows of data. No verdict on what they mean.
Vyaso output (same statement)
Top flags (3):
- · Loan stacking (2 lender deposits, 5 days apart)
- · Account kiting (transfer from savings)
- · Lender deposit not customer revenue (Velocity)
Same six rows. A verdict the credit committee can defend.
Run them together. The parser answers what each transaction is. Vyaso answers whether the merchant should be funded.
Run Vyaso on your existing pipeline.
Ocrolus → Vyaso
Pull normalized transactions from Ocrolus directly into Vyaso. Run the nine layers and the synthesis step on their structured output, with no separate upload.
Heron Data → Vyaso
Read Heron Data's categorized transaction stream into Vyaso. Use their merchant categorization as input to Vyaso's revenue confidence and counterparty analysis.
Validis → Vyaso
For funders pulling bank-account data through Validis, Vyaso reads the financial-data API and re-underwrites the resulting transactions.
PDF / CSV upload
The default, no upstream parser required. Drop in the bank statement PDFs (or a CSV from your data warehouse) and Vyaso parses, categorizes, and re-underwrites in one pass.
Plug into your stack.
REST endpoints
✓ verifiedUpload, retrieve results, export transactions, fetch the network graph data, all via standard REST endpoints.
CSV / JSON export
✓ verifiedEvery analysis is exportable in either format. Drop into your data warehouse or attach to the submission packet.
Webhook on completion
RoadmapSubscribe to analysis-complete events for asynchronous pipelines.
SSO and per-user accounts
RoadmapSingle sign-on, role-based permissions, audit logs.
White-label dashboard
RoadmapISO-branded report exports and dashboard themes.
Frequently asked.
Run Vyaso on your portfolio.
Free 30-day pilot. Bring 50–100 files. We'll show you what the model would have flagged, what would have been approved, and how the adjusted revenue compares.
No commitment. No setup fee.