AI makes fake images indistinguishable from real ones. Metadata can be stripped. Watermarks can be forged.
Rial uses zero-knowledge cryptography to prove an image is authentic—without exposing sensitive data or relying on central authorities.
Every industry that relies on photos for verification is under attack from AI-generated fakes and manipulation.
Digital evidence is inadmissible if authenticity can't be proven. Chain-of-custody breaks with metadata tampering.
Fraudsters submit AI-generated damage photos. Adjusters can't tell what's real. Claims costs skyrocket.
Fake news spreads through manipulated images. Deepfakes erode trust. No reliable way to verify sources.
Field inspections, deliveries, and documentation photos can be fabricated. Compliance becomes impossible.
Rial uses zero-knowledge proofs to verify image authenticity mathematically—without exposing the original photo or sensitive metadata.
Image captured with our mobile app. Device hardware (Secure Enclave) generates cryptographic signature.
Zero-knowledge circuit creates proof of authenticity. Original image never leaves device.
Anyone can verify authenticity cryptographically. No central authority. No metadata exposure.
Mathematical proof of device origin, not AI detection. Resistant to forgery without breaking advanced cryptography.
Prove authenticity without revealing GPS, timestamp, or image content. Zero-knowledge by design.
Verification works peer-to-peer. Reduces single points of failure.
Keys stored in iOS Secure Enclave or Android Keystore. Device attestation helps detect tampering.
Problem: Fraudulent damage photos cost insurers billions annually.
Solution: Cryptographically verify photos were taken in-field, not AI-generated.
Problem: Digital evidence inadmissible without proven chain-of-custody.
Solution: Cryptographic proof of origin, integrity, and transformation history.
Problem: Fake news spreads through manipulated imagery. No way to verify sources.
Solution: Verify original photos cryptographically without revealing sources.
Problem: Field inspections, deliveries, documentation can be faked.
Solution: Prove work completion with cryptographically signed photos.
Problem: Users don't know if images are real or AI-generated.
Solution: Label verified real-world media without exposing metadata.
Problem: Progress photos can be backdated or fabricated for billing.
Solution: Time-stamped cryptographic proof of project milestones.
Advanced cryptography meets mobile-first design. Enterprise-grade security that just works.
Prove image integrity and allowed transformations without exposing the original photo.
Keys stored in iOS Secure Enclave and Android Keystore (TEE/StrongBox). Device attestation ensures only legitimate clients generate proofs.
Outputs verifiable C2PA-style claims with Merkle roots and timestamps.
Multi-layer verification catches screenshots, stock imagery, and GPS/time spoofing.
| Approach | Forgeable? | Privacy? | Central Authority? | Future-Proof? |
|---|---|---|---|---|
| Rial | ✅ No | ✅ Yes | ✅ No | ✅ Yes |
| Metadata | ❌ Yes | ❌ No | ✅ No | ❌ No |
| Watermarks | ❌ Yes | ❌ No | ✅ No | ❌ No |
| AI Detection | ❌ Yes | ✅ Yes | ❌ Yes | ❌ No |
| Blockchain Timestamping | ✅ No | ❌ No | ✅ No | ✅ Yes |
We provide technical verification of device authenticity and capture metadata. Understanding our scope helps you use Rial effectively.
Important: Rial provides technical verification only. Not a substitute for professional investigation, legal advice, or comprehensive review. Results should be part of a broader verification process.
Pay per verified image, enterprise licensing, or OEM integration. Choose what works for your business.
Schedule a demo to see how Rial can eliminate fraud, ensure compliance, and restore trust in your digital imagery.
Request a DemoEnterprise pilots available now • Integration support included