Verify Person
Extra assurance for IBAN name checks.
Bluem helps banks, PSPs, and organisations automate complex IBAN name verification scenarios using intelligent NameSimilarity logic.
Problem
7%
of all VoP checks return a Close Match
At scale, that's thousands of unresolved decisions per day.
Saves 3-25 minutes
average manual review time per decision
Compliance teams bottlenecked by ambiguous payee names.
€2.3B+
in fraud via Close Match name confusion
Fraudsters exploit name similarity to bypass basic checks.
Automation value
How it works
Input name vs. bank-provided Suggested Name
Real-world variations in naming
Legal vs commonly used names
Detects formal and everyday name variations.
Missing middle names
Handles incomplete banking name records.
Typographical errors
Detects common spelling inconsistencies.
Incorrect name order
Identifies reordered first and last names.
Abbreviations and modern name forms
Understands initials, short forms, and aliases.
Decision engine
High NameSimilarity
Accept automatically
Name is a clear match. System approves automatically — no human review required.
77%
of cases
Medium NameSimilarity
Request proof
Similarity is unclear. Trigger review and request additional verification.
13%
of cases
Low NameSimilarity
Reject automatically
Low confidence match. System blocks verification to reduce fraud risk.
10%
of cases
Business outcomes
Real impact on operations
Input guidance
Do
Use the full name shown on the ID document
e.g. Johannes Maria Adriaan van der Berg
Do
Use all initials and last name when full name is unavailable
e.g. Johannes Maria Adriaan van der Berg
Don't
Avoid shortening names to a single initial
e.g. J. van den Berg
Why us?
