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AEM wins Technology Excellence Award for Analytics - Semiconductors

Advanced chip-testing solutions enable cost-effective solutions for companies involved in artificial intelligence and 5G.

As artificial intelligence and fifth-generation (5G) mobile networks gain ground, AEM Holdings Ltd pursues innovation by focusing on application-specific intelligent system tests and handling solutions needed by semiconductor and electronics firms.

The company’s handling and testing systems set the standard for the automation and test in high-mix/high-volume manufacturing environments. AEM specialises in back-end handling and testing solutions in the semiconductor industry. Semiconductor chips have to undergo a complex series of tests through an automated test framework, particularly for mission-critical chips in which accuracy and efficiency are crucial. AEM is a leading solution provider in System Level Testing solutions to address these needs.

AEM received the Technology Excellence Award 2020 in the Analytics - Semiconductors category in recognition of several key achievements.

First, the company’s chip-testing solution can increase throughput whilst reducing downtime and overhead cost. One of AEM’s major clients is a large chipmaker with a market capitalisation exceeding US$200b.

Following years of consistent growth in revenue and profit, AEM reached a record high revenue in fiscal year 2019.

These recent accomplishments did not occur overnight and have been built over years of dedicated work.

Since 2013, AEM has been developing a new generation, patented, and proprietary test framework that resolved the limitations of the traditional method by taking a modular and massively parallel approach to chip testing.

The innovative solution consolidates the three stages of testing into a single modular machine and supports the testing of multiple chip types in heterogeneous environments across multiple test sites.

Another advantage of AEM is that its thermodynamic engineering capabilities enable testing in extreme test scenarios (e.g., tri-temperature) without compromising the physical integrity of the device under test. This capability leads to a further increase in throughput.

To address the industry’s need for lower chip-testing costs, AEM introduced the asynchronous modular parallel smart (AMPS) platform in 2018, which provides application specific test-handling solutions for customers.

By operating on a modular and massively parallel test framework, AMPS increases efficiency and cost savings for chip makers and third-party testing companies. AEM’s customers are assured that its sophisticated system-level test solutions will deliver high levels of performance while allowing them to maintain reasonable costs.

The Singapore headquartered company offers solutions that help its customers around the world guarantee high-product quality, quick time to market and cost-effective testing and automation solutions.

Thanks to a talented global team with decades of engineering experience, AEM is able to apply its excellence in robotics signal processing, advanced thermal engineering and mechatronics in the design and massive deployment of test and handling systems that respond to the needs of a competitive semiconductor industry.

Watch the interview below to know more about their winning project:

The Technology Excellence Awards, presented by Singapore Business Review, was held via video conferencing throughout the first and third week of June.

This year’s nominations were judged by a panel consisting of Daryl Pereira, Head of Cyber at KPMG; Cheang Wai Keat, Head of Advisory Services in Singapore and ASEAN Technology Consulting Leader at Ernst & Young; Chin Chee Choon, Advisory Leader and Assurance Director at Nexia TS; Rizwi Wun, Partner, Acting Head of Intellectual Property and Technology Practice Group at RHTLaw Asia; Carolyn Chin-Parry, Managing Director and Digital Accelerator Leader at PwC.

If you would like to join the 2021 awards and be acclaimed for your company’s exceptional technological innovations, please email Julie Anne Nuñez at [email protected]

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