
Siemens unveils AI--powered library characterization
Solido Characterizer uses AI engines to accelerate .lib generation from weeks to days and deliver 7x greater throughput.
A suite of AI-powered library characterization tools delivering quick solutions with uncompromised accuracy. Streamline characterization flows through robust verification, IP selection guidance, and significantly reduces runtime while ensuring production-accurate models and statistical data.

Solido Characterization suite works with any existing characterization solution for standard cells, IOs, memories and custom cells and supports all .lib data types, including timing, power, noise and variation, and supports all .lib data structures such as NLDM, CCS, LVF, and Moments.







This paper explores Solido’s Analytics and Variation Designer tools which together provide a sign-off solution for verifying LVF data in .libs using advanced machine learning-enabled technology.

An IP QA framework using Solido Crosscheck and Solido Analytics allows STMicroelectronics to improve IP schedule time and release quality, focus on product design and benchmark and compare its IP validation vs. industry standards.

This paper classifies the levels of artificial intelligence (AI) sophistication in EDA today, describes what it took for Siemens EDA’s Solido group to develop production-grade AI in its EDA tools, and how this benefits customers.
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