Semiconductor AI Virtual Assistant leader Lavorro announced today a strategic partnership with Aidentyx – a supplier of AI powered, asset performance management (APM) analytics solutions for smart sub fab, high-technology and industrial manufacturing.
The Lavorro and Aidentyx partnership delivers digital transformation through engineering augmentation and factory wide tool performance optimization. Constant uptime of critical assets in the semiconductor cleanroom, sub fab and facility wide is achieved by leveraging cross-tool and cross sub-system data sets. With Lavorro’s FabAssist.ai™ and ToolAssist.ai™, customers leverage AI Virtual Assistant and the AI/ML framework to augment engineering efficiency and author AI/ML applications rapidly for greater fab-wide tool performance, and uptime. A patented virtual assistant software called Lucy combines with Aidentyx’s GrandView™ APM framework to offers customers access to expert content, real-time and historical equipment data that leverages natural language queries and custom data dashboards.
GrandView is a “2024 Best AI Solution” award recipient. Its predictive analytics applications focus on equipment health and process optimization by predicting potential failures and degradation events before they occur. This helps to mitigate risk of costly downtime, reduces overall maintenance and operational costs while maximizing productivity.
“Combining Aidentyx’s deep applications, predictive analytics applications with our fab and tool Virtual Assistant platform offers customers and engineers greater insights to help ensure constant tool uptime, and collaborative problem solving that improves overall equipment productivity and efficiency enhancement in the semiconductor fab as well as adjacent manufacturing industries” commented Ankush Oberoi, CEO Lavorro.
“We are pleased to collaborate with Lavorro,” said Jason Kim, CEO Aidentyx. “Our combined data driven equipment engineering and analytics solutions help our semiconductor and adjacent manufacturing customers improve data integration, optimization and automation of critical plant-wide assets.” This offers engineers greater real-time insights into tool health and performance, achieving significant efficiencies, and cost savings factory wide,” he added.
