LUXURY & HIGH-VALUE GOODS//

Prove Authenticity Beyond the Label.

XR Vision adds a covert, non-destructive layer of authentication for sealed high-value goods, enabling brands to detect substitution, diversion, and tampering beyond surface-level identifiers.

Client Snapshot

Premium brand shipping high-value products vulnerable to diversion, substitution, and grey-market leakage.

Challenge

Counterfeit substitution and in-transit manipulation were difficult to detect once products were sealed. External authentication methods—labels, tags, and serials—were increasingly compromised, and destructive inspection was not viable.

The client needed a covert, non-destructive way to verify product authenticity and completeness inside sealed packaging.

Mineral City AI Solution

XR Vision analyzed radiographic signatures of sealed packages, learning product-specific internal markers—materials, geometry, embedded identifiers, and configuration patterns—to authenticate contents without revealing security methods externally.

Implementation

Initial rollout focused on the highest-risk SKUs and shipping lanes, then expanded to additional collections. Models were trained using brand-controlled reference sets under NDA.

Outcomes

Why it matters
(for investors & partners)

Ready to work with us?

Luxury and High-Value Goods

LUXURY & HIGH-VALUE GOODS//

Prove Authenticity Beyond the Label.

XR Vision adds a covert, non-destructive layer of authentication for sealed high-value goods, enabling brands to detect substitution, diversion, and tampering beyond surface-level identifiers.

Client Snapshot

Premium brand shipping high-value products vulnerable to diversion, substitution, and grey-market leakage.

Challenge

Counterfeit substitution and in-transit manipulation were difficult to detect once products were sealed. External authentication methods—labels, tags, and serials—were increasingly compromised, and destructive inspection was not viable.

The client needed a covert, non-destructive way to verify product authenticity and completeness inside sealed packaging.

Mineral City AI Solution

XR Vision analyzed radiographic signatures of sealed packages, learning product-specific internal markers—materials, geometry, embedded identifiers, and configuration patterns—to authenticate contents without revealing security methods externally.

Implementation

Initial rollout focused on the highest-risk SKUs and shipping lanes, then expanded to additional collections. Models were trained using brand-controlled reference sets under NDA.

Outcomes

Why it matters
(for investors & partners)

Ready to work with us?