Horizon Robotics uses the Exensio® platform to standardize yield analysis

April 26, 2022 (PST) - PDF Solutions, Inc., a leading provider of unified data and cloud analytics solutions for the semiconductor ecosystem, announced that Horizon Robotics, a leading supplier of artificial intelligence processors and smart driving algorithms, has selected Exensio Fabless to use Exensio as its standard platform for semiconductor product data management and yield analysis.

The global smart driving market is experiencing tremendous growth driven by advanced driver assistance systems (ADAS) and autonomous driving (AD) applications. Horizon Robotics recognized that this new era of innovation and technological advancement required a new approach to manage and analyze its diverse product data. To stay ahead of the expected growth in data volumes and the increasing complexity of the manufacturing and testing supply chain, Horizon Robotics selected Exensio Fabless to manage its product lifecycle data and perform advanced analytics.

“As a leader in edge AI chips/computing platforms and the first AI processor supplier to support Level-2 to Level-4 autonomous driving functions, Horizon Robotics must ensure that all of our smart mobility chips meet automotive-grade standards,” said Liang Yu, Director of Chip Operations and Quality at Horizon Robotics. “The advanced data management and analysis capabilities in Exensio’s Fabless Manufacturing Analytics module enable our engineering team to easily monitor and screen their chips to ensure automotive-grade quality.”

“Horizon Robotics is a leader in designing and developing AI processors for smart driving, and we are pleased that they have chosen Pudifei and Exensio Fabless to help them achieve their manufacturing quality goals,” said Jia Jun, Head of China Business. “The Exensio Fabless Manufacturing Analytics module is dedicated to enabling product engineers to reach their yield, quality and reliability goals as quickly as possible and drive profitable high-volume manufacturing. We look forward to working closely with Horizon Robotics to enable them to fully leverage the power of big data analytics in their smart driving efforts.”

About Exensio Data Analytics Platform

Purdue's Exensio Analytics Platform is an enterprise-class data and cloud analytics platform designed to help engineers and data scientists across the semiconductor supply chain quickly improve the yield, quality and profitability of their products. Combined with Purdue's professional services, the Exensio Analytics Platform aims to help its customers realize the benefits of Industry 4.0 by changing the way systems collect, analyze and share data.

About PDF Solutions

PDFS Semiconductor Technologies, Inc. (NASDAQ: PDFS) provides a comprehensive cloud analytics platform designed to help companies across the semiconductor ecosystem improve the yield and quality of their products and operational efficiency, thereby increasing profitability.

The company's products and services are used by multiple Fortune 500 companies in the semiconductor ecosystem to achieve smart manufacturing goals and profitable high-volume production by connecting and controlling equipment, collecting data generated during manufacturing and test, and performing advanced analytics and machine learning.