Motivo has developed proprietary computational technology to use graph analytics, AI and machine learning for the semiconductor IC segment.
In the IC space, we dramatically accelerate yield improvement with tera scale data analytics and machine learning.
A revolutionary computational approach that simultaneously identifies and optimizes all systematic yield detractors in IC physical designs (vs. current partial, sequential and iterative methods)
Scope: 100% coverage of design/technology space
Speed: Massively parallel computation on distributed graph databases
Scale: Tera scale analytics on multiple data sources
Fixes: Optimal/Maximal selection (non-iterative Machine Learning)