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Chips Joint Undertaking (Chips JU)

AI-assisted Methods and Tools for Engineering Automation (Chips JU 2025 call)

Funds one team building an open AI-assisted platform, including generative AI, that automates chip and software-defined-vehicle engineering tasks across design, deployment and maintenance.

ClosedChips Joint Undertaking (Chips JU)EU

The resulting platform needs to work at both ends of the team-size spectrum -- flexible enough for small engineering teams and large multi-domain, multi-stakeholder ones alike -- and it's expected to influence not just today's chip-engineering automation tools but the next generation of them too. On the software-defined-vehicle showcase, evaluators will look at time and cost savings, how well reso…

The call wants AI-assisted methods and tools, including generative AI, that automate multi-domain software engineering tasks — modelling, control, data management, communication, mechatronics — while handling legacy integration and compliance with standards and certifications. The resulting open, extensible platform must be showcased on software-defined-vehicle engineering, covering the full lifecycle from design through end-of-life.

CycleiHow often this grant runs - e.g. annually, on a rolling basis, or a one-off call.No fixed schedule
Next deadlineiThe next date applications are due. Rolling means you can apply any time.-
Decision timeiTypical time from the deadline to the funder's decision.-
Project durationiHow long the funded work is expected to run.-
Award typeiThe form of funding - grant, equity, loan, tax credit, etc.Grant
Match fundingiThe share of project costs you must cover yourself. 0% = fully funded.-
Funding pooliThe total budget available across all awards in this round.€20M

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Chips Joint Undertaking (Chips JU) logo
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Chips Joint Undertaking (Chips JU) logo
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Chips Joint Undertaking (Chips JU) logo
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🇪🇺Chips JU · European Union

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Chips Joint Undertaking (Chips JU) logo
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🇪🇺Chips JU · European Union

Funds one team building an open AI-assisted platform, including generative AI, that automates chip and software-defined-vehicle engineering tasks across design, deployment and maintenance.

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Chips Joint Undertaking (Chips JU) logo
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