Concept Tapestry is a Machine Learning/Evolutionary Computing Company that was started in 2007 by a team of scientists and engineers with deep expertise in AI and Machine Learning.
The company has fielded solutions that have proven to reduce unplanned downtime, increase equipment availability, and reduce the costs associated with maintaining critical industrial systems and processes
The founding team consists of members that had been trained at CS/AI Labs at Stanford, Berkeley, Yale and other premier universities with work experience from companies such as Xerox/PARC, Lockheed Labs, Google, Apple etc.
Concept Tapestry performs data-driven prognostics and diagnostics using equipment log files, sensor readings, and actual usage history of critical equipment. We leverage a unified MLSmart framework of components and technologies built around an ensemble of machine learning algorithms including Genetic Algorithms, Genetic Programming, Bayesian Statistics, Support Vector Machines and many others.
