Success Stories
The concrete impact of FRAUDFLOW on the field; Explore through real cases and measurable results.
January 5, 2026 · automotive damage
Making the invisible visible: 1.5M TL abuse network
A single routine claim file turned into network analysis linked to FRAUDFLOW; The leak at the potential level of 1.45M TL was stopped early.
Read the story →January 20, 2026 · Fleet Visual analysis
Same damage, different angles: repeat photos
In claim files appearing independently at the fleet customer, FraudFlow stopped recurring payment by detecting different representations of the same damage through visual similarity and angle normalization.
Read the story →February 10, 2026 · Damage photo · Image forensics
The end of the digital illusion: damage image produced with AI
In a seemingly perfect claim file, FraudFlow detected AI manipulation of pixel consistency, metadata, and chiaroscuro geometry; The payment of 450,000 TL was blocked.
Read the story →February 28, 2026 · Traffic damage · Insurance data
Who's behind the wheel? Driver replacement case
In a seemingly standard traffic accident case, FraudFlow caught the driver's license-conflict with the insurance data integration and risk score; field inspection confirmed driver switching.
Read the story →