Edge Architecture

Edge architecture for computing refers to a decentralised approach where data processing occurs closer to the source, such as IoT devices or local servers, rather than relying solely on centralised cloud data centers.

This approach is important because it reduces latency, enhances real-time data processing, and minimises bandwidth usage, making it ideal for applications that require rapid decision-making, such as autonomous vehicles, smart cities, and healthcare monitoring.

By bringing computation to the edge of the network, edge architecture also enhances security and privacy, as sensitive data can be processed locally without being transmitted over the internet.

DATA IS NOT STORED ON THE CLOUD, OR WITH US

Protect user privacy and streamline GDPR and HIPAA compliance by eliminating third-party involvement.

CLOUD COSTS ARE ELIMINATED

Lower operational costs by eliminating cloud-related expenses, which supports greater affordability.

OFFLINE MEANS ACCESSIBILITY

Allow health and wellness checks anytime, anywhere, without requiring an internet connection, which means we offer the perfect solution for non-urban or remote healthcare access.

PERFORMANCE IS NOT RELIANT ON INTERNET CONNECTIVITY

Ensure an exceptional user experience with consistent performance, regardless of WiFi or internet speed, which means we offer a real solution to all communities.

CHOICES FOR BUSINESSES

Adopt a per-session, single Face Scan, or a per-user, multiple Face Scans, business model for optimal cost efficiency and seamless scalability.