Inova Semiconductors Implements YieldWatchDog as Yield Management Solution

DR YIELD software & solutions GmbH, provider of the smart data analytics solution YieldWatchDog, announces that they were selected by Inova Semiconductors GmbH to enable actionable insights into their chip test data.

DR YIELD software & solutions GmbH, provider of the smart data analytics solution YieldWatchDog, announces that they were selected by Inova Semiconductors GmbH to enable actionable insights into their chip test data. YieldWatchDog transforms production data collected during chip manufacturing and testing into valuable information, allowing yield improvements and cost optimization.

Inova Semiconductors GmbH is a leading-edge semiconductor company with a strong focus on the automotive industry and committed to the highest manufacturing and product quality. To achieve this, continuous improvement and thus the use of the latest analysis tools and technologies in the semiconductor field is required.

“With the YieldWatchDog software, Inova now has a tool that is capable of parallel production data processing, enabling the rapid load and analysis of large amounts of information. A variety of integrated functions allow different methods for inspecting production data. Easy to use automated rules for applying quality screening techniques further improve device filtering. This ensures a continuous delivery of products with the highest quality,” said Dr. Malte Leisner, Head of Quality & Foundry Management at Inova.

“It is an honor for us at DR YIELD to work with Inova Semiconductors, as we are both innovation leaders in rapidly growing markets, and we are looking forward to exciting developments in the future,” said Dieter Rathei, CEO at DR YIELD software & solutions GmbH.

Inova Semiconductors GmbH is a fabless semiconductor manufacturer headquartered in Munich, Germany. DR YIELD provides the cutting-edge advanced analytics software YieldWatchDog for analysis and control of semiconductor manufacturing and test data. This enables semiconductor manufacturers as well as fabless companies to improve important manufacturing dimensions such as equipment availability, throughput, operating costs and yield.

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