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Unissey

VENDOR CASE STUDY

Strengths

  1. Neural network-based facial estimation to determine if users meet age thresholds without storing or transmitting biometric data.
  2. Supports tuneable thresholds and buffer zones, allowing accurate classification across 13+, 16+ and 18+ age gates.
  3. Fully deployed, tested and compatible with common devices, supporting real-world use across regulated and commercial environments.

Summary of Results

Demonstrated high accuracy and minimal latency, delivering fast decisions with high true positive rates at 18+.

Built in fallback mechanisms and human review options make Unissey flexible and robust for edge-case handling in sensitive access scenarios.

Privacy Policy

In addition to the structured Practice Statements, the Trial also reviewed publicly available Privacy Policies for all participating providers. This formed a key part of the Trial’s ethical due diligence and helped assess how well declared practices aligned with actual documentation and observed system behaviour.

Practice Statement

Practice Statements are formal documents submitted by participating providers, outlining how their systems function and how they claim to meet specific expectations under international and domestic standards. They offer providers an opportunity to articulate their system’s design in their own words — similar to a ‘statement of practice’ or ‘system disclosure’ used in certification and compliance contexts.

Interview

As part of the Trial’s commitment to transparency and accuracy, the team prepared a written summary of each vendor interview, capturing key points regarding system design, functionality and implementation claims. These summaries were shared with participants for review, allowing them to check, verify and suggest corrections where necessary.

Test Report

Individual Vendor Test Reports were developed for each participating provider. These reports formally document the results of the functional, usability and security evaluations carried out during the Trial and are intended to support public understanding, regulatory scrutiny and future conformity assessment or certification processes.
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© 2026
 Age Assurance Technology Trial
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