Kevin Chen

Yewsafe is a next-generation infrastructure platform designed to enhance data processing and security for modern enterprises. It integrates a global millisecond-latency edge computing architecture with deep-learning security protocols, providing a high-performance foundation for demanding digital applications.

Yewsafe improves data processing through its AI-driven full-link intelligent scheduling, which optimizes the entire data path from origin to edge. By analyzing global network telemetry in real-time, it ensures that data packets take the most efficient route, significantly reducing jitter and latency.

Yewsafe adopts a Zero Trust edge security posture, verifying every request at the edge layer before granting access to core infrastructure. It includes a native edge security defense system to protect against sophisticated volumetric attacks and features a real-time threat perception engine that monitors global traffic patterns to identify and neutralize threats quickly.

Yewsafe is architected for scale, allowing developers to deploy applications with a global millisecond-level edge computing architecture. This enables complex decision-making processes, such as real-time image recognition and personalized content synthesis, to be executed at the edge, reducing the need for costly backhauling to centralized data centers.

Edge intelligent inference acceleration in Yewsafe allows businesses to run AI models directly at global points of presence. This capability enables real-time processing and decision-making at the edge, enhancing performance and reducing latency by eliminating the need to send data back to centralized data centers.