ROC Released New Facial Age Estimation API

The company has debuted a self-service tool to help organizations verify user ages through biometric data.

Updated on Oct. 8, 2026 in Robotics

ROC Released New Facial Age Estimation API

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ROC has launched a new facial age estimation API designed for developer integration. This platform allows businesses to implement biometric age verification, leveraging algorithms recently tested in federal evaluations.

Why it matters

The company is targeting a rapidly expanding market for digital age assurance to create a new commercial revenue stream. By providing these tools, they aim to help organizations establish safeguards while monetizing their proprietary Vision AI platform.

The API builds on algorithms that placed first in Mean Absolute Error for 18 to 30 year-olds in Visa, Application, and Mugshot datasets. It is designed to support the broader market shift toward digital age verification.

The players

ROC

A technology company based in Colorado that develops Vision AI platforms and biometric software solutions.

B. Scott Swan

The Chief Executive Officer of ROC who manages the firm's strategic growth and public market presence.

NIST

The National Institute of Standards and Technology conducts rigorous technical evaluations of facial recognition and age estimation algorithms.

The details

The new API enables organizations to build custom age estimation workflows with their own internal thresholds and compliance safeguards. ROC, which went public on the Nasdaq prior to April 2026, plans to follow this release with additional SaaS products for face analytics.

ROC began participating in NIST facial age estimation evaluations in 2023.
CEO B. Scott Swan outlined the company growth strategy in April 2026.
ROC submitted its algorithms to the NIST FATE evaluation in August 2026.
The global age assurance market is set to hit 6.5 billion checks in 2026.
The global age assurance market is projected to reach 9.8 billion checks by 2028.

The Tech Race

The release of this API underscores a broader transition toward automated, biometric-based security in the global age assurance sector. As global check volumes approach 10 billion, ROC is positioning its Vision AI platform to compete directly with other industry-leading biometric providers.

Users may encounter this technology through more frequent, streamlined age-verification prompts on digital platforms and web services. The integration of these tools could lead to faster account access while requiring individuals to provide biometric data for identity confirmation.

The takeaway

As digital age assurance becomes increasingly automated, the accuracy of facial estimation tools will determine how platforms manage user safety and access. Developers and businesses should monitor standardized test rankings to ensure they adopt the most reliable biometric solutions available.