Insurance fraud costs the European industry billions every year and digital photos have made the problem harder, not easier, to solve
With AI-generated imagery, deepfakes, and trivial metadata manipulation now widely accessible, insurers receiving claim documentation face a fundamental question: can they trust what they see? Traditional approaches rely on detecting manipulation after the fact, forensic analysis, expert dispatch, manual review, all of which are slow, expensive, and increasingly ineffective as generative AI advances. The problem extends beyond deliberate fraud. Even legitimate claim photos taken by policyholders carry no reliable chain of custody. Was the photo taken at the scene? At the time of the incident? On the actual vehicle or property listed? These questions delay settlements, drive costly expert visits, and create friction for the honest majority while doing little to stop determined bad actors. Meanwhile, European regulation is tightening: the EU AI Act classifies insurance claim assessment as a high-risk AI use case, requiring verifiable, auditable inputs, which most insurers cannot yet provide. The industry needed a way to make every claim photo trustworthy from the moment it was taken, without adding friction for the person taking it.