Overcome the limitations of PCA, PLS, and traditional univariate statistics with sophisticated ML when multivariate relationships are non-linear.
Make the shift from reactive to predictive monitoring
Use contextual process and analytical data from illuminator and Quartic AutoML to transform your multivariate analysis from reactive investigations to online predictive monitoring with a few clicks!
A better way to MVDA
The existing products and tools provide fragmented capability and focus on automating traditional statistical techniques that are limited to working on simple datasets. As a result, these techniques fall short when supporting richer, multi-dimensional data problems. Productionalizing these customized models is also time consuming, expensive, and inefficient
We used PCA successfully to solve process problems, but the custom models for the complex, non-linear dynamics required a lot of coding and were hard to deploy. The Quartic MVDA solution provides us more power with easy deployment
The Quartic MVDA Solution is built on the Quartic Platform. The Platform connects to industrial OT (Operational Technology), condition measurement systems, MES, and CMMS systems; contextualizes the data to an asset and allows users to build intelligence agents using machine learning (ML) and complex event (rules) processing (CEP).
Automated data preparation and pre-processing.
Organizes, contextualizes, and prepares data from different sources and formats with an automated processing pipeline
Automated Machine Learning
Built for the product, process, and manufacturing engineers or practitioners with little to no data science or programming expertise
Model performance monitoring and re-training
Model performance and robustness is monitored continuously with notifications for retraining