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RED Semiconductor selected for ChipStart UK incubator

16th October 2023
Paige West
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RED Semiconductor (RED), a fabless semiconductor company creating advanced microprocessors enhancing AI and security applications, has been selected as part of the first cohort for ChipStart UK, the government-backed incubator launched through the National Semiconductor Strategy.

RED Semiconductor's microprocessor uses a vectorised Instruction Set Architecture (ISA) to deliver highly efficient processing of the algorithms and mathematical functions used in AI, autonomy, and cryptography.

Twelve semiconductor design startups have joined the programme which will give companies support to get innovative semiconductors to the global market and grow to become future global chip leaders. The £1.3m programme will be delivered by siliconcatalyst.uk which has engaged with hundreds of chip companies on scaling up and growing.

Through the ChipStart UK, run by Silicon Catalyst UK, RED Semiconductor will gain access to bespoke chip design tools, commercial expertise, specialised mentorship, and networking opportunities with prospective investors and partners.

Says James Lewis, CEO of RED Semiconductor: “For RED Semiconductor, which has completed R&D on our product and is now ready for design and deployment of cores and chips, the support of ChipStart could not come at a better time. The quality of the in-kind partners, mentors, and government support is exceptional, and we are thrilled to be part of the pioneering first intake.”

Says Minister for Technology Paul Scully, supporting the ChipStart UK launch: “Semiconductors are the bedrock of our modern economy and an increasingly integral part of our lives. These firms are building on Britain’s research leadership to open doors to innovation and growth, while designing chips that could truly change the way we live our lives.”

RED Semiconductor has a key software technology partnership with Libre-SOC, a project that aims to create a completely open-source System-on-Chip (SoC) design, which is supported by NLnet, Sorbonne University, Stitching Art & Technology, NGI POINTER and Horizon 2020, the EU's research and innovation funding programme.

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