Shufti Launches On-Device Age Verification Tool

The tool checks age eligibility without sending users' facial images to a verification server, and the underlying technology has been granted a U.S. patent.

Updated on Nov. 13, 2026 in Artificial Intelligence

Shufti Launches On-Device Age Verification Tool

Live Poll

Would you trust an online age check that never shares your face or ID?

Shufti has launched an on-device age verification tool that combines facial age estimation, encrypted age tokens, and flexible verification methods. The company says businesses can confirm a user's age eligibility without transmitting facial images to a verification server.

Why it matters

The approach addresses a common concern in age-gated online services, where businesses must verify age without collecting a user's full identity. Shufti's CEO Shahid Hanif said a business should not have to collect someone's full identity to confirm age.

The patented system uses split inference, dividing AI processing between the user's device and a secure server, and issues one-time age tokens that can be restricted to specific merchants and marked as used to prevent reuse. The extraction does not disclose the model accuracy or latency of the tool.

The players

Shufti

Shufti is a United Kingdom-based identity and age verification company that offers verification services to businesses.

Shahid Hanif

Shahid Hanif is the CEO of Shufti, a company that provides identity and age verification technology.

The details

When a user begins an age check, AI models analyze facial characteristics on the device to estimate age and assess liveness locally. The device then generates an encrypted One-Time Age Token containing intermediate AI outputs rather than the facial image, which the server validates before determining whether the age threshold is met.

Timeline

  1. November 13, 2026: Shufti's on-device age verification launch was reported.

Roadmap

Shufti's approach applies split-inference, an architecture in which edge devices process initial model layers before passing intermediate representations to a server, to age verification. The design shifts sensitive biometric processing onto the user's device rather than centralizing facial images on a verification server.

Businesses that must confirm age can potentially do so without collecting users' facial images or full identity details, which may reduce the personal data a user shares. Whether a given service adopts the tool and how it handles verification in practice is not addressed in the extraction.

The takeaway

Age verification can be designed to confirm eligibility while keeping facial images on the user's device, so users can ask services how they handle biometric data during checks. The extraction does not confirm whether any specific business has adopted this method.

Further reading

For more on the AI techniques behind tools like this, see Artificial Intelligence coverage on Wisevoter.

Source note: This article includes information reported by Biometric Update.

Live Poll

Would you trust an online age check that never shares your face or ID?