ProteanTecs presents a clever testing system that improves electronics performance and reliability by utilizing on-chip telemetry and machine learning.

ProteanTecs®, a global leader in deep data solutions for electronics health and performance monitoring, today launched an innovative system production testing solution. This solution combines embedded on-chip telemetry with an ML-driven analytics engine, bringing deep data sources and insights that were previously unavailable under the production methods used today.

The complexity of system manufacture keeps increasing as system businesses include more sophisticated chips onto their boards for high-performance sectors like artificial intelligence, cloud computing, telecommunications, and automotive. It is now very difficult to provide quality, performance, and lifetime reliability while reducing test expenses and production time.

ProteanTecs offers unprecedented parametric visibility during functional testing by combining software and silicon, delivering real-time insights. It bridges the long-standing gap between silicon and system behavior by enabling system suppliers to identify hidden defects, such as power integrity, thermal, and assembly faults, as well as optimizes performance and enhances power economy, at scale and in real time.

The core of the solution is a hardware-embedded monitoring system that uses on-chip agents to collect comprehensive data throughout the production lifetime. It integrates with edge-deployed ML models and a cloud analytics platform to facilitate real-time testing decisions throughout the entire process, from new product introduction to mass production.

ProteanTecs, which was developed to speed up system bring-up and thorough characterization, makes debugging easier and assists teams in finding the source of issues more quickly. This helps teams give design and production test teams important feedback and improves system readiness for large-scale production.