How Private Identity’s Age Assurance solution compares to Veridas

PrivateID offers a more streamlined user experience and robust privacy features in age assurance, ensuring compliance without compromising on security compared to Veridas.

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Certifications and Compliance

Introduction

PrivateID delivers fast, highly accurate, privacy‑preserving facial age estimation that operates entirely on the edge, eliminating the need to transmit or store any images, biometric templates or personal identifiable information (PII). When higher levels of age assurance are required, or when individuals fall near critical age thresholds, the same edge AI technology can capture a photo ID and match the live selfie to the photo on the ID and derive the age from the extracted date of birth. PrivateID’s iBeta PAD Level 1 and Level 2–approved facial liveness detection models run entirely on-device to prevent spoofing attempts, including deepfakes.

As all processing occurs locally on the user’s device, there is no requirement to obtain user or parental consent for minors. As a result, organizations eliminate the risks of potential data breaches and global privacy law obligations while delivering a seamless user experience with faster processing and minimal bandwidth requirements.

1. Edge‑First Processing

PrivateID’s edgeAI technology performs on-device camera capture, image quality checks, facial age estimation, liveness and anti-spoof detection, selfie-to-photo ID matching, and data extraction — all directly on-device without transmitting any images or personally identifiable information (PII). It operates seamlessly across general-purpose devices, including smartphones, desktops, point-of-sale (POS) systems, kiosks, and other camera-enabled hardware.

By shifting these processes to the edge, PrivateID enhances user privacy while reducing operational risks and costs for organizations. Most importantly, age assurance regulatory requirements can be met without requiring explicit user or guardian consent when processing occurs on the user’s personal device, streamlining and accelerating the overall user experience.

2. Engineered for first-time success — no retries needed

Real-time user feedback ensures that age estimation or verification is completed successfully on the first attempt, delivering clear and consistent outcomes. No retries are needed, eliminating user frustration and streamlining the experience. This one-and-done approach also prevents system probing through selective reattempts and simplifies operations by making each attempt a single, high-confidence decision that is easy to measure and audit.

3. Performance & Reliability

PrivateID delivers results in real time by performing facial age estimation and verification entirely on the device, eliminating server-side processing and latency. Performance remains consistently fast across all network conditions and device types since no server round-trips are required.

4. Privacy & Compliance by Design

PrivateID’s edge AI age assurance solutions deliver unmatched privacy by performing all processing directly on the user’s device—no images, biometrics, or personal data ever leave it. This on-device approach eliminates the risk of data breaches and removes global privacy compliance burdens for businesses.

5. Policy‑Based Age Outcomes

Organizations can define outcome formats that align with their policies—whether specific age ranges such as “13–17” or thresholds like “18+” or “21+.” Results can be delivered as exact ages or simple above/below threshold responses, depending on organizational requirements.

6. Anti‑Spoofing & Integrity Signals

On‑device facial liveness detection prevents spoofing attempts including printed and digital presentation attacks, 3D masks, and deepfakes. PrivateID’s models have been independently validated through successful completion of iBeta PAD Level 1 and Level 2 assessments. Additional signals about device and session health—such as whether a phone is jailbroken or whether the camera appears genuine—can inform policy locally without server calls.

7. Interoperability & Deployment

PrivateID offers modular SDKs for Swift (iOS), Kotlin (Android), web (WASM) and a simple API service that works across general purpose hardware including desktop, mobile, POS, kiosks, and more. Integration is seamless with customizable UI components and low‑code flows. PrivateID offers multiple hosting options including SaaS, PaaS, or on‑prem, allowing flexibility and control for customers.

8. Brand Control & White Labeling

Enterprises can match the experience to their brand with full control over copy, styling, animations and policy messaging. Teams own the entire user journey, including local privacy notices and consent text when required, so the flow feels native and trustworthy.

9. User Experience

PrivateID provides an on‑device assistant that gives real‑time guidance on camera angle, distance, glare, and lighting, helping people complete the check on the first try—without retries. Interactions finish in milliseconds and feel private and respectful because data never leaves the device.

10. Use Cases

PrivateID supports age‑gating for regulated content and products, parental controls for apps and platforms, and quick checks at venues and events. It shines in offline or low‑connectivity environments such as retail self‑checkout, kiosks, and stadiums, where speed and privacy are critical.

Summary

PrivateID’s Facial Age Estimation and Document Verification solutions deliver highly accurate, edge-only performance that outpaces cloud-based alternatives and are designed for privacy from the ground up. By performing all processing directly on the device and returning only the required policy decision, organizations can meet age-gating requirements at scale—without compromising speed, user experience, or compliance.