iDenfy Upgrades Its Age Verification Platform With a New Age Estimation Tool

FOR IMMEDIATE RELEASE

iDenfy’s business partners will be able to precisely estimate users' ages and manage sessions directly from a dedicated iDenfy dashboard view

London, United Kingdom (July 27, 2026)

Age Estimation is a process that determines whether a user meets a minimum age requirement using a real-time selfie or via an uploaded document with the picture, if that requires a compliance policy, such as iGaming or financial industries. It is also commonly used by platforms that must confirm age eligibility before granting access to certain products or content. Demand for this kind of technology has surged alongside the broader market: Precedence Research values the global AI age-detection sector at $2.15 billion in 2025, forecasting growth to $2.48 billion in 2026, while MarketReportAnalytics separately pegs the segment at $202 million in 2025 with a 6.3% compound annual growth rate, underscoring how quickly the underlying technology is scaling regardless of methodology. Previously, iDenfy’s platform offered an age verification workflow that required the end-user to upload a photo of their government-issued ID document. Now, with the new add-on of Age Estimation, this step can be removed, and the user can only be asked to capture their selfie biometrics. The system then determines the person’s age based on their facial features.

Rather than treating age estimation as a feature bundled inside a broader onboarding flow, iDenfy has built it out with its own permission structure, billing model, and API endpoints, so ïŋžits partners that only need Age Estimation checks are not required to adopt the full identity verification stack to access it.

As a result, iDenfy’s users can view a full sessions list, generate tokens, and open a detailed session page from a single, centralized view, all supported by their own custom settings, fully encoded verification URLs, and official API documentation.

When a business enables the age estimation flow, the end user is asked to capture a live selfie, which is compared against a configurable age limit and buffer zone set by the business. It is worth mentioning that iDenfy’s age estimation tool can estimate people's age within a similarly tight range to what the industry's leading models now achieve — Yoti, for instance, reported a mean absolute error of just 1.1 years for the 13–17 age bracket and 2.4 years across ages 6 to 70 in tests published by Biometric Update in July 2025, while NIST's own benchmark showed the top mugshot-based algorithms cut mean absolute error from 3.102 to 2.615 years by August 2026 — and control the age limit businesses want to provide access to their products. Users who are clearly above the age threshold pass in seconds using only a selfie. On the other hand, users whose estimated age falls near the legal limit are automatically routed to a certified ID document check within the same session, where the date of birth on the document, not the model's estimate, makes the final decision.

iDenfy claims that most young adults who are over 25 are considered easily verifiable. However, many companies have a hard time differentiating 18 to 24 age category. These users often still look young, and their facial features can be shaped by genetics or other external factors that potentially can mislead their verification systems. Industry benchmarks reflect just how stubborn that gap remains: even the top-performing algorithm in NIST's FATE Challenge 25, evaluated in May 2026, posted a false positive rate of 0.017 on borderline age cases, according to NIST and Xident, underscoring that this bracket is still difficult even for state-of-the-art models.

According to Domantas Ciulde, the CEO of iDenfy, the update reflects a broader pattern the company has noticed among its partners that operate in age-restricted and regulated markets:

“Age estimation only works if the people using it can actually see what's happening inside each session. We improved our product against disguises such as makeup or a moustache to precisely estimate people's age and brought it into the dashboard with its own sessions list and detailed view,” commented Domantas Ciulde.

Validated age data reduces the risk of underage access to restricted products, platforms, and content, while limiting how much of the personal data businesses need to collect in the process. Because most users pass on a selfie alone, companies avoid asking their entire user base to submit a government ID just to prove they are old enough. This supports compliance with regulations such as the UK Online Safety Act, the EU Digital Services Act's age assurance guidance, and GDPR's data minimization principle, as well as emerging state-level age verification laws in the United States and Australia's under-16 social media restrictions. That regulatory pressure is accelerating the market: Liminal's 2026 age assurance index, published in April 2026, forecasts 41% growth in user volume by April 2028 and rated vendors such as Shufti as “Exceptional” for market presence, while Precedence Research projects the global AI age-detection market to reach $8.87 billion by 2035, a 15.24% compound annual growth rate from current levels.

Because the estimate and the document fallback now run inside the same session and the same dashboard, review and audit work move faster too. Compliance teams can see what was checked without needing to reconcile records across separate tools.

“Centralizing session creation and results in one dashboard view might sound like a small operational detail, but for partners that run age checks at scale, it removes a lot of manual tracking that used to happen outside our platform,” added Domantas Ciulde, the CEO of iDenfy.

The Age Estimation dashboard module is available now to iDenfy partners, who can integrate through API or Dashboard, with 24/7 support available from iDenfy's team to guarantee a smooth setup without any additional coding.

For more information about the age estimation service, visit idenfy.com/age-estimation-service.

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About iDenfy

iDenfy is a global RegTech platform for identity verification, fraud prevention, and compliance (KYC, KYB, and AML), trusted by 1,000+ businesses worldwide. It has been ranked the #1 identity verification software on G2 for four consecutive years (2023–2026), holding a 4.9/5 rating across 200+ verified reviews. The platform combines patented 3D liveness detection and AI with 24/7 in-house human review, covering 200+ countries and 16,000+ document types, and its pay-only-for-approved-verifications model cuts onboarding costs by up to 70–75%. iDenfy is independently audited (ISO 27001, SOC 2 Type II, eIDAS) and backed by Lloyd's of London cyber insurance.

For more information, visit idenfy.com.

Media Contact

iDenfy Communications

Aurimas Kybartas
[email protected] ; [email protected]

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