Catch fraud at the
front door
Fraud intelligence built on business identity. Detect synthetic businesses, first payment default, and coordinated fraud at application, not after the loss.


Trusted by fraud and risk teams at leading financial institutions.
Business fraud is different from consumer fraud. Different patterns, different signals, different data. Middesk is built for it with an entity graph connecting more than 100M businesses, models trained on B2B outcomes, and intelligence that understands how businesses actually behave.
The cost of fraud you didn’t see coming
Year-over-year increase in business fraud losses.
Of legitimate businesses falsely flagged
Average loss before coordinated fraud is detected
Fraud intelligence built on identity, not just transactions
Entity graph maps ownership structures, corporate hierarchies, and related businesses across 100M+ entities. Historical signals track how businesses change over time. Fraud hides in the patterns, not just the application.
Cross-network velocity, application patterns, and behavioral signals that span institutions. Patterns no single portfolio can see.
Probabilistic risk scores built on millions of labeled outcomes. Standard models deploy out of the box. Custom models trained on your portfolio's specific patterns.

The fraud intelligence stack
Fraud models
From payment default to merchant scams. Performance monitoring, threshold tuning, and ongoing recalibration. Standard and custom models with full explainability.
Business identity intelligence
Shell company identification, formation velocity analysis, and registration anomaly detection — built for the complexity of business entities, not adapted from consumer fraud logic.
Network intelligence
Entity graph spanning 100M+ businesses. Fraud ring detection across bust-out schemes, mule networks, and synthetic rings. Cross-customer intelligence across 500+ customers.
Digital footprint
Website existence, domain age against formation date, social presence, online reputation, and contact risk scoring. Know if a business is real before it's onboarded.
Identity signal integrity
Phone, email, and IP consistency checks. Disposable and fraud-linked contact detection. People-to-business linkage and beneficial ownership signals.
Monitoring
Ownership transfers, address changes, dormant account reactivation, and network connections to known fraud. Fraud doesn't end at onboarding.
Fits into the stack you already have
Catch fraud early. One API call.
Risk scores, network signals, and entity intelligence in a single API call. Accelerate onboarding for good businesses and slow down bad actors.




