Facial age estimation
A quick selfie yields an age range in about 20 milliseconds, on-device available, with no significant bias across age, skin tone, or gender.
Age assurance
Prove age privately in every jurisdiction
Regulators now require you to know when a user is a minor. Incode meets every age law with privacy-first assurance that fits each user.
The problem
Age checks are law. Trust is the hard part.
Regulators from Ofcom to the FTC now require platforms to know their users' ages, while users hesitate to share their faces. Compliance that destroys conversion, or privacy, does not last.
0%
of users have serious concerns about providing biometric data
Identity Theft Resource Center
0%
of global revenue: the maximum fine for breaching the UK Online Safety Act
Ofcom
$0M
paid by Epic Games to settle FTC charges over children's privacy and design
FTC, 2022
0M+
face-related attacks stopped by Incode in 2026
Incode, 2026
How it works
Four steps from unknown user to a compliant age check
The foundation
Every age method, orchestrated as one
No single method fits every user, market, or law. Incode routes each user down the fastest compliant path, and the platform sequences all of them to your rules.
Explore the platformDocument and government verification
Identity documents, digital IDs and wallets, and government records prove age where regulation demands certainty.
Phone, data, and network signals
Carrier, credit, banking, and email signals confirm age with zero camera time, for reverification and camera-shy users.
Regulatory coverage
One integration answers every jurisdiction's age law
Deployed across the USA, UK, EU, Brazil, and Australia, with certifications regulators recognize.
- Online Safety Act (UK · Ofcom)
- Digital Services Act (EU)
- COPPA (U.S.)
- KOSA (U.S.)
- Digital ECA (Brazil)
- Online Safety Act (Australia)
- U.S. state age laws
- ESRB and PEGI ratings
COPPA · KOSA
UK OSA
EU DSA
Brazil ECA
Australia OSA
Privacy by design
Compliance that respects privacy
Data minimization by design. A platform can learn a user is over the threshold without ever learning who they are, and the smallest possible data footprint stays auditable.
On-device estimation
Age and liveness models run on the user's phone. No facial image or PII ever leaves the device.
Data minimization
Automated PII redaction, immediate deletion, and double anonymization keep evidence without keeping identities.
Deepfake defense
Deepsight blocks deepfakes, injection, and replay across every method, so age checks stay honest.
Products
The products behind age assurance
Every age check draws on one integrated identity stack.
Verified proof
Social platforms, marketplaces, and operators trust Incode.
99.8%+
accuracy separating minors from adults.
40+
jurisdictions ready to deploy
92%+
verify on the first try
0.9 yr
mean error, ages 13 to 17
What customers say
“With Incode, we've been able to scale global age compliance without creating friction for our users or compromising security.”
Senior Compliance Manager, TikTok
Which laws require age assurance?
A growing list: the UK's Online Safety Act enforced by Ofcom, the EU's Digital Services Act, COPPA and KOSA in the U.S., Brazil's Digital ECA, and Australia's Online Safety Act, plus industry frameworks like ESRB and PEGI. Incode ships jurisdiction-ready configurations for 40+ jurisdictions.
What is the difference between age verification and age estimation?
Age verification proves age against an authoritative source: an ID document, a government record, or a digital credential. Age estimation infers an age range from a selfie without identifying the person. Most regulations accept estimation for lower-risk thresholds and require verification as a step-up.
How accurate is facial age estimation?
Incode separates minors from adults with 99.8%+ accuracy, holds a mean absolute error of 0.9 years for the critical 13 to 17 age group, and is top-ranked in NIST FATE testing, with no significant bias across age, skin tone, ethnicity, or gender.
Can users prove their age without sharing biometric data?
Yes. With on-device age estimation, age and liveness models run entirely on the user's phone and no facial data ever leaves the device. Phone, data, and email methods confirm age with no camera at all.
Will age checks hurt conversion?
Not when the method fits the user. With intelligent orchestration, 92%+ of users complete verification on their first try, and adults who fail one method are stepped to another instead of being turned away.
What's next
Meet every age law without losing your audience.
See how 40+ jurisdictions' obligations resolve into one integration.