SOLUTIONS – OUR MISSION
TO SOLVE YOUR PROCESS PROBLEMS WITH ADVANCED DATA ANALYTICS AND MACHINE LEARNING
To solve your challenging process problem we combine powerful data analytics and machine learning methods: correlation techniques, regression, machine learning, FFT, wavelets, PCA, ICA, DOE.
EXAMPLE PROBLEMS – excessive variation in process or product variables, poor product quality or defects, process upsets or breakdowns, sub-optimal process performance.
TO BUILD AND DEPLOY ACCURATE PREDICTIVE MODELS FOR YOUR PROCESS
We use leading-edge machine learning algorithms and software like deep learning, TensorFlow and XGBoost in Amazon SageMaker Studio. Models can be used for preventive maintenance and predict process behavior, out-of-control situations, and other problems. They can also be used for process simulation and optimization.
TO USE LOW-COST PORTABLE SENSORS TO MEASURE AND COLLECT DATA FOR YOUR PROCESS IMPROVEMENT
We leverage a portable and highly configurable sensing and data collection toolkit to quickly set up temporary sensing and data collection without impacting the existing manufacturing system. This accelerates advanced analytics and machine learning especially for smaller manufacturers.