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VerIQ

Due-diligence terminal

Automated forensic triage for global capital markets: KYC packets, SWIFT messages and commodity logistics documents read, cross-referenced and scored in seconds.

Due diligence in commodities and correspondent banking means reading MT103, MT760 and MT799 messages, tank storage receipts, bills of lading and inspection reports by eye, then checking names against Companies House, OpenCorporates and KVK one browser tab at a time. VerIQ runs that as staged due diligence with GPI payment tracking and IMO vessel lookups built in. Most onboarding teams re-key data from PDFs, search registries by hand in a browser, and store the proof in a folder nobody can audit. VerIQ collapses that into one case file — extraction, deep search across official sources, ownership resolution, scoring and monitoring — and keeps the reasoning for every decision.

Visit the live site — myveriq.com

< 90s

Median case

3

Staged DD levels

MT103/760/799

SWIFT parsed

The live product

VerIQ as it ships today

A screenshot of the running terminal — staged due diligence, SWIFT parsing and commodity document checks on the front door.

myveriq.comOpen live
VerIQ terminal home screen: automated forensic triage for global capital markets
Stage 1 initial DD, SWIFT & UETR parsing, commodity document checks.

Walkthrough

From upload to cleared case

Step through the five stages of a case. Each view is a representative mockup of the production interface, including the applicant's phone app.

veriq.cases / VQ-40218

document extraction — 6 fields, 1 flag

Full nameA. R. Whitfield99%
Date of birth1984-03-1198%
Document no.P•••••72497%
Expiry2031-08-0296%
AddressFlat 4, Harbour Row88%
Address on utility billFlat 4, Harbor Rowspelling variance
09:41LTE

Step 2 of 4

Photograph your passport

Hold steady — reading
ID documentdone
Selfie checknow
Proof of address
Confirm details

Applicant capture app

The applicant uploads once; the model does the typing

Passports, licences, incorporation certificates, utility bills and structure charts are read by a vision model. Fields are extracted, cross-checked against each other, and any inconsistency is raised before the case moves on.

  • Multi-language document extraction with per-field confidence
  • Liveness and face-match against the submitted photo ID
  • Tamper and template checks on the document image itself
  • Applicant chased automatically when something is missing or unreadable

AI & automation

Where the models actually earn their keep

AI is used where it is measurable and reviewable, and kept away from the final call on anything material.

Document understanding

Vision models extract structured fields from any layout, with confidence per field rather than a single pass/fail.

Entity resolution

Fuzzy name, transliteration and alias handling so the right registry record is found without guesswork.

Adverse media triage

Articles summarised, relevance-ranked and de-duplicated so reviewers read four items, not four hundred.

Policy engine

Deterministic rules make the decision; the model only supplies inputs. That keeps decisions explainable.

Human in the loop

Anything above your risk threshold goes to a reviewer with the evidence pre-assembled.

Full evidence chain

Raw API responses, model outputs, scores and reviewer notes stored together per case.

Build one like it

We can build you a system comparable to VerIQ

Any business with an onboarding or compliance queue can run this pattern: banks, brokers, payment firms, lenders, insurers, marketplaces and trading desks. We adapt the document set, the registries and the policy matrix to your regime, then plug it into whatever you already use for cases.

Free quote & initial consultation