Claim photos you can trust, and act on
The problem. First-notice-of-loss has moved to the phone. That's efficient, and it exposes carriers to edited damage, recycled images, and fully AI-generated scenes. Eyeballing photos at volume doesn't catch it, and every doubt slows a legitimate payout.
What it costs. Insurance fraud costs an estimated US$308 billion a year in the United States, and AI now makes a convincing fake claim photo nearly free to produce.
The fix: authentic capture at intake. Verify claim media against its provenance and prove a photo is real, recent, untouched, and from the right place. Sign it at intake to establish custody an adjuster, or a reinspection, can confirm later, independently. Industry-standard and independently verifiable.
What you can do today
- Verify inbound claim media and flag images that are altered, AI-generated, or missing provenance.
- Sign claim photos at intake to create a custody record adjusters and SIU can trust.
- Auto-clear clean submissions to speed legitimate payouts and reduce in-person site visits.
The job it does for claims and SIU teams
You need to trust a remote claim photo enough to pay on it, and to flag the fraudulent ones before payout. Authentic capture gives adjusters an independently checkable chain of custody and takes an easy vector away from fraud rings.
FAQ
Does this replace SIU? No. It gives special investigations a verifiable signal and a custody trail, reducing the volume that needs manual forensic review.
Can a reinspection verify the photo months later? Yes. The record is durable and independently verifiable, with no dependency on Original Pictures.
Related
Original Pictures provides content-provenance and integrity infrastructure. It verifies provenance signals and integrity relationships; it does not prove that a depicted event is true, and does not by itself constitute legal compliance with any regime. Figures are drawn from public reporting; verify against primary sources before citing in regulated materials. Nothing here is legal advice.
Last verified 2026-06-02. Author: Mahdi Kazempour, Founder, Original Pictures.