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Insurance and claims

Collect claim evidence with a capture history, not just an attachment

RealityProof adds an inspectable capture receipt to claimant-submitted photos, video, rooms, and objects without presenting the receipt as an automated fraud verdict.
A claimant documenting water damage with a smartphone
INSURANCE AND CLAIMS
LIVE CAPTURERECEIPT READY

The problem

The decision depends on more than the file

Claims teams need fast evidence from the field, but ordinary uploads provide little context about where a file came from, whether it was captured for this claim, or whether it changed later. Reviewers compensate with manual follow-up and repeated documentation requests.

Pilot workflow

Add a capture record before review

  1. 01

    Request evidence at FNOL

    Send a mode-specific capture request for the damage, scene, room, or high-value article relevant to the claim.

  2. 02

    Capture live on iPhone

    The claimant uses the native capture flow and chooses the supported details they are prepared to disclose.

  3. 03

    Attach the receipt to review

    The claim system keeps the proof link with the case and shows the available checks to the reviewer.

Useful evidence

What the receipt can support

  • The evidence came through the requested RealityProof capture flow.
  • The reviewed file can be checked against the file recorded in the receipt.
  • The capture belongs to a fresh request with a recorded capture window.
  • A stable public receipt can be reopened during review.

Decision limits

What still needs your process

  • The receipt does not establish the cause of damage.
  • It is not a fraud score or automated coverage decision.
  • It does not establish ownership or policy eligibility.
  • Optional external witnesses may be unavailable.

Design partner pilot

Start with one evidence workflow

We will map the request, the receipt, and the reviewer decision before defining a focused pilot.

Start with one claim type and one evidence request. The pilot will focus on capture history and reviewer usability, not automated adjudication.