proteanTecs Unveils Advanced Packaging Solutions to Improve Yield, Performance, and Reliability of Multi-Die Systems

Integrates per-chiplet visibility from pre-assembly screening through SiP production and in-mission operation, helping customers reduce costly packaging failures and optimize multi-die system power/performance

HAIFA, Israel, August 19, 2026--proteanTecs®, the leading provider of deep data visibility for advanced electronics, today unveiled a dedicated suite of health, power and performance management solutions for multi-die systems. Based on the company's unique on-chip monitoring technology, semiconductor and system companies can now improve yield, reduce risk and protect investments in high-value systems-in-package.

AI is fundamentally changing the architecture of advanced compute. As processors, accelerators, memory and connectivity are brought together through increasingly sophisticated multi-die packages, managing each component in isolation is no longer enough.

Building on its proven deep data analytics and real-time power, performance and reliability solutions, proteanTecs is extending its offering with advanced capabilities purpose-built for chiplet-based architectures and multi-die systems. The solutions combine shift-left chiplet quality assurance, pre-to-post packaging correlation, synchronized inter-chiplet analysis and multi-stream data analytics. This provides per-chiplet visibility and reveals integration-induced effects such as thermal gradients, power and clock noise, structural stress and workload-dependent behavior. These capabilities extend into in-mission operation, providing thermal, power and timing-margin awareness for real-time optimization of power/performance and reliability in the field.

As the System-in-Package (SiP) increasingly becomes a system in its own right, proteanTecs enables customers to move beyond monitoring individual components and understand how chiplets behave and interact as part of the complete package.

With advanced packaging, the cost of discovering a marginal die increases dramatically once that die has been integrated with other high-value components. The ability to identify risk earlier by providing DPPM reduction beyond the best-known-methods at Wafer Sort, understand what changed at package assembly, and make better decisions at every stage can have a significant impact on compound yield, quality and the economics of the final system.

This helps customers:

• Increase confidence in known-good-die (KGD) and known-good-stack (KGS) quality

• Improve compound yield across multi-die architectures

• Improve visibility into package and power delivery quality

• Reduce development risk and accelerate time-to-market

• Optimize power and performance across constrained multi-die systems

• Improve long-term reliability and lifecycle performance