proteanTecs Unveils ML-Driven System Production Analytics Solution Using Chip Telemetry for AI and High-Performance Markets

proteanTecs has launched a solution for system production testing that integrates embedded on-chip telemetry with a machine learning-driven analytics engine. This system introduces deep data sources and insights, addressing limitations in current production methods.

The solution targets high-performance markets, including AI, Cloud, Telecommunications, and Automotive, where system companies face increasing complexity in integrating advanced chips onto boards. It aims to ensure quality, performance, and reliability while minimizing test costs and production time. By combining on-chip Agents with a cloud-based analytics platform and edge-deployed ML models, the system provides parametric visibility during functional testing, enabling real-time detection of hidden failures such as power integrity, thermal, and assembly issues. It also optimizes performance and power efficiency across the production lifecycle, from new product introduction to high-volume manufacturing.

The hardware-embedded monitoring system captures telemetry throughout production, supported by a software stack that enhances system quality, power consumption, and performance. According to Evelyn Landman, proteanTecs co-founder and CTO, this solution offers the first-ever deep parametric visibility during PCB, module, and system functional testing under actual workloads and configurations. It accel...