Verify Person
Turn Close Matches into automated decisions
Turn Close Matches into automated decisions
Turn Close Matches into automated decisions
Extra assurance for IBAN name checks.
Bluem helps banks, PSPs, and organisations automate complex IBAN name verification scenarios using intelligent NameSimilarity logic.
Problem
The grey zone in IBAN verification
We go beyond the basic
IBAN–Name check.
When an account name doesn’t exactly match — but is close — your team must decide manually. This is the Close Match problem.
When an account name doesn’t exactly match — but is close — your team must decide manually. This is the Close Match 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
We eliminate the grey zone From uncertainty to automation
We go beyond the basic
IBAN–Name check.
We eliminate the grey zone From uncertainty to automation
Bluem’s NameSimilarity engine evaluates names against phonetic, linguistic, and behavioral patterns — and makes confident decisions automatically.
Bluem’s NameSimilarity engine evaluates names against phonetic, linguistic, and behavioral patterns — and makes confident decisions automatically.
Bluem’s NameSimilarity engine evaluates names against phonetic, linguistic, and behavioral patterns — and makes confident decisions automatically.
How it works
Smarter decisions with NameSimilarity
Trusted European
Verification of Payee partner
Smarter decisions with NameSimilarity
Bluem introduces NameSimilarity—a powerful layer on top of standard VoP checks.
Bluem introduces NameSimilarity—a powerful layer on top of standard VoP checks.
NameSimilarity goes beyond character comparison. It evaluates how names are realistically used in banking — including nicknames, abbreviations, initials, typos, and cultural patterns.
NameSimilarity goes beyond character comparison. It evaluates how names are realistically used in banking — including nicknames, abbreviations, initials, typos, and cultural patterns.
It intelligently compares:
It intelligently compares:
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
Clear outcomes
for every verification
We go beyond the basic
IBAN–Name check.
Clear outcomes for every verification
Every Close Match check returns one of three actionable confidence levels. No grey areas only clear next steps for your system or team.
Every Close Match check returns one of three actionable confidence levels. No grey areas only clear next steps for your system or team.
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
Banks and PSPs using Bluem Verify Person report significant operational gains within the first quarter without replacing existing infrastructure.
Banks and PSPs using Bluem Verify Person report significant operational gains within the first quarter without replacing existing infrastructure.
Fewer false rejections
Reduce unnecessary rejection of valid IBANs.
Fewer false rejections
Reduce unnecessary rejection of valid IBANs.
Fewer false rejections
Reduce unnecessary rejection of valid IBANs.
High-confidence IBAN verification across trusted European datasets.
Lower fraud risk
Improve confidence in payment verification.
Lower fraud risk
Improve confidence in payment verification.
Lower fraud risk
Improve confidence in payment verification.
High-confidence IBAN verification across trusted European datasets.
Faster onboarding
Accelerate onboarding and payment flows.
Faster onboarding
Accelerate onboarding and payment flows.
Faster onboarding
Accelerate onboarding and payment flows.
High-confidence IBAN verification across trusted European datasets.
Lower operational costs
Reduce manual handling and review effort.
Lower operational costs
Reduce manual handling and review effort.
Lower operational costs
Reduce manual handling and review effort.
High-confidence IBAN verification across trusted European datasets.
Input guidance
Better input creates
better outcomes
We go beyond the basic
IBAN–Name check.
Better input creates better outcomes
Verification quality depends on the quality of the provided name information.
Verification quality depends on the quality of the provided name information.
Verification quality depends on the quality of the provided name information.
Verify Person requires only two inputs. The API returns a structured decision with confidence score and reasoning — no configuration needed.
Verify Person requires only two inputs. The API returns a structured decision with confidence score and reasoning — no configuration needed.
Verify Person requires only two inputs. The API returns a structured decision with confidence score and reasoning — no configuration needed.
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?
VoP specialist you can trust
We go beyond the basic
IBAN–Name check.
Banks must comply with GDPR. They can’t fully reveal account holder names.
So their response is influenced by your input.
Banks must comply with GDPR. They can’t fully reveal account holder names.
So their response is influenced by your input.
Deep VoP expertise
Built specifically for real-world payment verification.
Deep VoP expertise
Built specifically for real-world payment verification.
Bank-aligned logic
Designed around real banking behavior and constraints.
Bank-aligned logic
Designed around real banking behavior and constraints.
Real-world insights
Powered by years of IBAN verification experience.
Real-world insights
Powered by years of IBAN verification experience.
ISO 20022 native
Structured name fields and reason codes designed for modern payment messaging standards.
ISO 20022 native
Structured name fields and reason codes designed for modern payment messaging standards.
Deep VoP expertise
Built specifically for real-world payment verification.
Real-world insights
Powered by years of IBAN verification experience.
Bank-aligned logic
Designed around real banking behavior and constraints.
ISO 20022 native
Structured name fields and reason codes designed for modern payment messaging standards.
Ready to secure your payments and prevent fraud?
Get started with the VoP Portal or integrate the VoP API. Talk to sales for high-volume pricing
Ready to secure your payments and prevent fraud?
Get started with the VoP Portal or integrate the VoP API. Talk to sales for high-volume pricing
Ready to secure your payments and prevent fraud?
Get started with the VoP Portal or integrate the VoP API. Talk to sales for high-volume pricing
Solutions
Bluem Websites
Company
© 2026 IBAN. All rights reserved.
Terms & Privacy Policy
Verification of Payee for the European payments ecosystem.
© 2026 IBAN. All rights reserved.
Terms & Privacy Policy
Solutions
Bluem Websites
Company
© 2026 IBAN. All rights reserved.
Terms & Privacy Policy
Verification of Payee for the European payments ecosystem.
Solutions
Bluem Websites
Company
© 2026 IBAN. All rights reserved.
Terms & Privacy Policy