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Vanti Introduces AI-Powered Predictive Quality Platform

Vanti has announced the introduction of its AI-powered Predictive Quality platform for adaptive industrial applications at the Gartner Data & Analytics Summit 2023. The platform uses machine learning and data analytics to predict and prevent quality issues, enabling manufacturers to avoid costly quality issues before they appear. The platform is customizable and easy to deploy, and can be used across a wide range of industries to improve efficiency, productivity, and business outcomes. Vanti is committed to helping its customers stay ahead of the curve in the fast-paced world of Industry 4.0.

Predictive quality examines industrial and manufacturing data in real-time for outliers, trends, and patterns. By analyzing production data, including time-series data, images, videos, and more, manufacturers can identify potential quality issues before they occur, helping to improve first-pass yield, reduce waste, and ensure high-quality output.

As Gartner notes, “AI offers substantial potential for manufacturing companies, both in operations and business process optimization. Industry 4.0, factory of the future, and smart manufacturing strategies point toward a self-adaptive and automatically reconfigurable production capability.”

“Our platform empowers subject matter experts, including engineers and plant floor managers, to access and utilize the platform’s insights without requiring data science expertise,” said Smadar David, Vanti CEO and Co-Founder. “By democratizing access to predictive quality insights, we’re enabling a new level of collaboration and productivity across manufacturing teams. Our goal is to help our customers achieve better outcomes with their existing resources and expertise, and we believe that our platform is a key step forward in achieving this vision.”

Vanti’s platform’s wide range of applications targeted at improving manufacturing metrics spans many industries, with the electronics manufacturing, medical device manufacturing, and automotive industries being just a few. The AI-powered predictive quality solution can be configured to meet the unique needs of different industrial environments, enabling customers to address dynamic supply chain challenges and achieve their goals.

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