On-device Age Estimation

The industry's only on-device age estimation with enterprise-class privacy, accuracy, and security.

Incode protects the privacy of global enterprises

Citi
Chime
Amazon
TikTok
FanDuel
BetMGM
AT&T
Experian
Equifax
Citi
Chime
Amazon
TikTok
FanDuel
BetMGM
AT&T
Experian
Equifax
Citi
Chime
Amazon
TikTok
FanDuel
BetMGM
AT&T
Experian
Equifax
The Problem

Face biometric sharing concerns are growing fast

Modern social platforms, online gaming providers, adult content sites, and AI applications must verify user age to comply with global regulations. But users inherently distrust solutions that transmit their biometric data to a server.

63%

of users have serious concerns about sharing their face.

(Identity Theft Resource Center)

Years of data breaches and privacy scandals have made users deeply uncomfortable sending their biometric data to external servers. That distrust creates measurable user drop-off, brand risk, and conversion damage.

The Challenge

Current privacy solutions come with critical gaps

Existing on-device solutions address the privacy problem, but introduce critical gaps that make them unsuitable for enterprise deployment.

Challenge 1: Security is broken

Most on-device solutions have little to no anti-impersonation technology:

  • Deepfakes, synthetic faces, and injection attacks can spoof the system
  • A minor can pass as an adult — or an adult as a minor
  • A spoofable solution creates direct regulatory liability

Challenge 2: Accuracy is compromised

Many on-device models trade accuracy for device compatibility, creating friction and hurting conversion:

  • Legitimate users are incorrectly rejected
  • Age thresholds must be raised to reduce risk
  • More users are pushed into additional verification steps
The Solution

Privacy-designed age assurance without tradeoffs

Incode's On-device Age Estimation is the only technology that provides enterprise-level guarantees for privacy, accuracy, security, and end user convenience.

Privacy

Models run directly on the device. No biometric data ever leaves the user's phone; Incode has no technical path to the user's raw face.

0 facial images ever leave the user's device

Accuracy

Server-level precision on-device. Consistent across demographics, skin tones, lighting, and devices.

1.08–1.19 Years MAE for U13 and U16

Security

99% spoof detection. Defends against deepfakes, injection attacks, replay attacks, 3D masks, and virtual cameras. The same security trusted by 8 of the top 10 U.S. banks.

1M+ impersonation attacks stopped in 2026

Convenience

Age checks complete in under 5 seconds with automated capture and real-time guidance. Automatic rerouting when a check fails.

92% completion on the first try
How it works

Incode's on-device facial age estimation

Incode's technology analyzes a user's face in 4 steps to estimate their age, entirely on their device, without ever transmitting the image to a server.

Boost user trust & brand loyalty

Choose from multiple visual options to match your platform's identity and audience.

Go one step further by replacing the raw camera stream with a branded visual experience that feels intentional, not invasive.

Privacy Lens preview
Verified by Incode

Privacy Lens

Blur or pixelate your user's face so it's never visible, not even on their own screen.

3D Avatar preview
Verified by Incode

3D Avatar

Represent your user with a stylized 3D avatar that matches your platform's look.

Branded Icon preview
Verified by Incode

Branded Icon

Swap in your own brand icon to stand in for your user.

On-device Age Estimation