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    Home»Startups»ANU spinout raises $36 million Series A to make AI chips
    Startups

    ANU spinout raises $36 million Series A to make AI chips

    Editor Times FeaturedBy Editor Times FeaturedApril 22, 2026No Comments3 Mins Read
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    Australia’s AI information centre push could possibly be bolstered by laptop chip maker Syenta, which has raised $36 million (US$26m) in a Collection A.

    The spherical was led by Silicon Valley VC Playground International and the Nationwide Reconstruction Fund, which chipped in $10.1 million. Present buyers Investible, Salus Ventures, Jelix Ventures and Wollemi Capital as soon as once more backed the six-year-old ANU spin out, now primarily based in Sydney.

    Playground International basic accomplice Pat Gelsinger, a former Intel CEO, will be part of the board

    Syenta beforehand raised $2.2 million in late 2022, after which an $8.8 million pre-Series A in August last year. Different buyers embrace Blackbird  Jelix, Brindabella Capital, CIA-backed In-Q-Tel, SGInnovate and OIF.

    The six-year-old, which started life targeted on growing multi-material 3D printers, is now growing Localized Electrochemical Manufacturing (LEM) — a lithography-free course of that allows scalable, high-density interconnects for superior chip packaging – and hopes to start semiconductor manufacturing in 2027.

    The funding is for the commercialisation of the expertise for high-volume manufacturing and increasing into the US from a base in Arizona.

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    Quicker chip making

    CEO and cofounder Dr Jekaterina Viktorova stated early outcomes from the LEM manufacturing delivered enhancements in bandwidth and manufacturing effectivity, leading to 40% fewer course of steps, with out the necessity to redesign of current manufacturing infrastructure.

    “At this time’s superior packaging approaches have actual limits on interconnect density, which constrain the bandwidth between chips,” she stated.

    “We’re enabling finer-pitch connections inside current manufacturing infrastructure, permitting programs to maneuver extra information extra effectively and at a decrease price with out requiring solely new fabrication approaches.”

    Gelsinger stated that AI’s subsequent scaling problem isn’t simply compute, it’s how chips join.

    “What’s compelling about Syenta is that the corporate is tackling a key constraint in superior packaging and contributing to the growth of a extra resilient world semiconductor ecosystem,” he stated.

    “This can be a new means of constructing high-performance programs at unprecedented scale and energy, significantly as AI workloads proceed to develop.”

    Whereas Nvidia has been one of many corporations to profit from the AI increase, the worldwide semiconductor business is exepected to greater than double in worth over the following 4 years to $US1.6 trillion by 2030 due to demand for AI functions and information centres. 



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