The yes/no on a merchant takes minutes. Getting there takes three to four days.
KYB Scout closes that gap to under an hour: site teardown, registries, ownership checks, audit-ready screenshots. The analyst still makes the call.
Three to four days of work before the real work starts
So what actually happens in those three to four days?
An experienced analyst can read a merchant and know in minutes. The file that gets them there takes days.
Ten tabs open. The registry in one, the merchant's own site in six more, because the application rarely matches what the site actually sells. Pulling documents from five different places. Starting from a blank page every time.
By the time the file is assembled, the judgment, the part that actually required the analyst, gets whatever attention is left.
The next analyst who opens a case builds it differently, and the inconsistency compounds. At audit, it is one name on the file that has to explain why.
Every tool on the market claims to fix this.
The human cost: pulling evidence from five disconnected sources, starting from a blank document every time. By the point judgment is finally needed, the analyst's attention is already spent.
Pack ref: illustrative
Example Gaming Ltd., Malta
Business model & geographies
Online sportsbook & casino, EU + LatAm-facing
merchant site: product & terms pagesOwnership structure
UBO chain resolves to 2 individuals; 1 holding co. unresolved
corporate registry cross-referenceScreening
No match: OFAC SDN, EU consolidated list
sanctions screen, run at generationThe result: a structured pack waiting for your underwriter. The facts are gathered, cited, and organised, leaving the analyst free to evaluate and make the call.
Verification tools don't solve a research problem
Sumsub tells you the director exists. World-Check tells you he's not sanctioned.
Neither tells you what the business actually is, what it sells, and where it ships, with proof attached. That is the three to four days, and it is the phase no tool has claimed.
KYB Scout does the research and analysis. Your team decides.
So what does doing the research actually look like, step by step?
Two inputs. A structured pack in under an hour.
Drop in the URL and KYB documents
The merchant's website URL, plus the KYB documents the merchant submitted.
Crawl & cross-reference
Checks the documents against the merchant's site, public registries, sanctions and adverse-media sources, and ownership records.
Structured pack assembly
Business model, products, geographies, ownership signals, risk indicators, every fact linked to its source.
Your analyst decides
KYB Scout never scores the merchant or recommends approve or decline. That call stays with your team.
We built that constraint in before we built anything else.
What it will never do
Every item below is a constraint the product was built backwards from.
No risk score
No approve/decline recommendation, ever.
No unsourced facts
Every extracted line links to a registry page, screenshot, or document.
No shared infrastructure
Each pilot is a dedicated deployment scoped to your data policy.
No training on your data
Merchant information is never used to train a general model.
No inconsistency
Same structure back, regardless of which analyst runs it.
No generic KYB
Built for iGaming, crypto, forex, not standard SaaS onboarding.
Questions worth asking any tool that claims to solve this
A fact with no source can't be defended in an audit.
The person accountable for the decision should be the one who makes it.
Most tools only verify identities and screen names. Someone still has to research the business by hand.
Your merchant data should stay under your control and never be used to train a model.
Consistent files are easier to review and easier to defend at audit.
Most tools pass two of these.
Here is where that stops being abstract.
Built for analysts and compliance leadership
Analysis, not archaeology
The research arrives assembled. The analyst verifies and decides.
Consistent structure across every file means less rework, a cleaner audit trail, and a portfolio of defensible cases that speaks for itself.
Defensible eighteen months from now
Your name is on the file, not just the company's.
Standardized, source-linked packs from day one mean the file you hand a regulator eighteen months from now does not need to be rebuilt first, or explained after the fact.
Onboard at the volume sales wants without lowering the standard you are personally accountable for.
That is easy to say. Here is how to check it without taking our word for it.
See it against a file your team already built
Send the URL and KYB documents of a merchant you have already onboarded. KYB Scout sends back the pack. Put it next to what your analyst built and decide which one you would rather defend three months from now.
If it is not better, this is not the right fit yet. No follow-up sequence, no hard sell.
We can make that offer because of how this got built.
Built inside a live high-risk PSP. Deployed on yours.
KYB Scout was built inside a live high-risk PSP's compliance workflow by people who watched the research phase absorb three to four days of analyst time per merchant. Internally, they compressed it to under an hour.
Each pilot ships as a dedicated deployment scoped to the client's infrastructure and data policy, so we take on a limited number of pilots at a time. Merchant data is never used to train a model. It does not leave the client's control without explicit sign-off.
That is the reason to book now instead of bookmarking this page.
Twenty minutes on a real merchant tells you whether the math works.
If your team onboards merchants regularly into high-risk verticals, a short walkthrough on an actual case will tell you more than any demo.
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