Thalia Design Automation, an investee company within the Deepbridge Technology Growth EIS portfolio, has recently announce the qualification of its AMALIA platform for 12nm FinFET technology, marking a significant step forward in analog, mixed-signal and RF IP design migration. This qualification enables customers to capitalise on the latest in advanced process technology and accelerate time to market for new products without compromising on cost and resource efficiency.
Thalia Design Automation has developed a design automation platform, ‘AMALIA’, which aims to reimagine the design of analog and mixed signal circuits. Using advanced AI algorithms and targeted automation, they are seeking to disrupt the semiconductor industry, by aiming to cut development time and costs significantly for IP houses and IC design companies.
Sou Bennani-McCord, Global VP of Sales at Thalia, commented:
“FinFET technology delivers substantial performance benefits and enables more efficient scaling in semiconductor devices. This is crucial given the shift towards increasingly smaller technology nodes and transistors,"
“Leveraging FinFETs, our customers are engineering devices that are not only smaller and more efficient, but also significantly more powerful, all while ensuring compatibility with a variety of technology nodes. This versatility is key for applications spanning from automotive to IoT, AI and ML, and more, positioning our customers at the cutting edge of electronic design innovation.”
AMALIA offers a smooth and reliable IP migration cycle helping semiconductor companies maintain competitiveness by adopting state-of-the-art process technologies, like 12 FinFET. It also enables them to speed up their product development cycles, while staying on budget and remaining efficient operationally.
David Blake, Investment Director at Deepbridge Capital, commented:
"Great news for Thalia launching the latest generation of their AMALIA software designed to support TSMC and Global Foundries 12FF (nm) technologies. These technologies offer a paradigm shift to the way semiconductors are designed, so being able to support these is a massive step to the AMALIA offering.
Thalia AMALIA’s AI and ML capabilities deliver outstanding efficiencies in the analysis, design and verification stages of IP reuse. The result is a reduction in development time of at least 40%, enabling semiconductor businesses to react quickly to changing market demands and maximise business opportunities. A huge congratulations to Sowmyan R. and the team."
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