BUILT BY PAYMENTS PROFESSIONALS, FOR PAYMENTS PROFESSIONALS.

Merchant onboarding.
From days to minutes.

Skanner helps ISOs, agents and merchant brokers analyze the documents behind a merchant application—surfacing inconsistencies, anomalies and evidence that deserve attention before submitting the file for boarding, underwriting and final approval.

Articles of Organization, utility bill, business bank statement, personal identification and EIN notice
▤

DOCUMENT INTELLIGENCE

Evaluates submitted documents for structural, informational and forensic inconsistencies.

⌘

CROSS-DOCUMENT ANALYSIS

Connects information across the submission to identify contradictions and relationships.

⌕

ANOMALY DETECTION

Surfaces findings that may warrant closer review.

▧

EVIDENCE SUMMARY

Organizes key findings so your team can focus on what matters.

Built for the people
preparing the merchant submission.

A faster, clearer
way to review
merchant applications.

◎

ISOs, Agents &
Merchant Brokers

Skanner gives ISOs, independent agents and merchant brokers pre-submission document intelligence before the merchant file reaches PSP or acquirer underwriting.

Helping reduce the time spent preparing and reviewing a merchant file before underwriting.

Designed to be practical to adopt and accessible to payment professionals without enterprise-scale software commitments.

▤

Underwriting Teams

Move from manually searching through merchant documents to reviewing surfaced findings and supporting evidence.

Merchant application documents including a bank statement, utility bill, identification, business filing and EIN notice
Pre-submission document intelligence

Know the file before
you submit it.

For ISOs, agents and payment professionals, one of the biggest challenges is knowing if a merchant file is ready for submission.

Are the documents acceptable? Does the information agree across the submission? And with AI making document forgery easier than ever, is there evidence that something may not be authentic?

Skanner uses proprietary document forensic intelligence to examine the merchant file before submission, helping surface inconsistencies, anomalies and forensic indicators that deserve attention.

The result is less time spent manually reviewing documents and greater confidence in the file being submitted — allowing payment professionals to focus on the question that matters next:

Are we ready to submit this merchant to underwriting?

Traditional document review

01Open merchant file
02Review each document
03Cross-check information
04Investigate inconsistencies
05Determine readiness

Skanner-assisted review

01Submit merchant file
02Documents analyzed
03Cross-document checks
04Evidence surfaced
05Review findings
Common questions

Clear answers
for a smarter
submission process.

What is Skanner?

Skanner is a pre-submission document intelligence platform for ISOs, independent agents and merchant brokers. It analyzes merchant application documents and surfaces inconsistencies, anomalies, cross-document relationships and forensic indicators that may warrant closer review before submission.

Who is Skanner built for?

Skanner is built primarily for ISOs, independent agents and merchant brokers preparing merchant submissions within the payments and merchant-acquiring ecosystem. It supports the pre-submission stage of merchant onboarding before the file reaches PSP or acquirer underwriting. Its surfaced findings and supporting evidence can also assist other payment professionals reviewing merchant files.

Does Skanner make underwriting decisions?

No. Skanner surfaces findings and supporting evidence for review. The ISO, agent, analyst or underwriting team remains the decision-maker.

Is Skanner commercially available?

Payment professionals can join the Early Access List to receive updates as Skanner approaches commercial availability.

Know what you're sending before underwriting sees it

Be among the first to use Skanner.

Skanner is being built for the professionals who prepare and review merchant submissions.

Join the Early Access List  →