Built for complex electronic manufacturing
As data constantly changes, due to changes in the unit material or in the tests themselves, Vanti models automatically adapt to these changes and maintain their predictive capabilities. The model can automatically perform backtesting and changes to the data to fit the new data structure.
This process is designed to provide a simple user experience that requires no data science knowledge to build a model.Rapid Deployment - Once you have the data you wish to use for the model creation, deploying a production-grade predictive analytics model can take up to a couple of hours, not months.
Vanti AI model is built in a way allowing you to upload real production data where only a fraction of the units are marked as “fail” and still provide accurate results. Moreover, Vanti models lets domain experts to configure the model in a way that will best suit their business needs.
Vanti models are built as a white-box, meaning they provide detailed explanations that lead the algorithm to predict whether a unit is destined to fail. This provides not only a deeper understanding of the model predictions, but also insights that shed more light on the manufacturing process as a whole.