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)  


All information looks like noise until you break the code.
— Neal Stephenson, Snow Crash

Making the connections that matter... 

Making the connections that matter...