Houston-based simulation company Xccelerate AI has announced the development of a groundbreaking AI-based framework that it says can undertake complex engineering simulations more than 10,000 times faster than existing technology.
Complex simulations in engineering traditionally demand extensive computational power and time, sometimes taking days to weeks to complete, wreaking havoc on project schedules and budgets.
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According to Xccelerate AI, the benefits of its innovative approach aren’t confined to a single industry. It’s an industry-agnostic solution, catering to anyone who relies on digital simulations for product design and manufacturing. Originally crafted to expedite structural analyses in the automotive sector, its applications have now expanded across a variety of industries.
The framework operates on a straightforward concept: it learns from existing simulation data to predict results for new designs. Many organisations already possess the requisite simulation data for model training, enabling implementation of a bespoke surrogate model for their products in just a few short days. For those without pre-existing data, Xccelerate AI offers extensive expertise in modelling complex phenomena and can assist in cost-effectively acquiring the necessary data.
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‘At Xccelerate AI, we are deeply committed to pushing the boundaries of what’s possible in engineering and product development,’ said Burak Ozturk, Xccelerate AI’s CEO. ‘Our innovative AI-based framework is a testament to this commitment, providing a transformative solution that not only accelerates simulation times but also empowers designers and engineers to innovate more freely, explore new possibilities and achieve excellence in product development. We are ushering in a new era of speed, precision and efficiency, and we’re excited to see the incredible impact this will have across various industries.’
‘This framework represents a monumental leap forward in simulation technology,’ said Kaan Inal, Xccelerate AI’s CTO. ‘By leveraging advanced machine learning, we’ve turned what used to be weeks of computation into mere seconds, without sacrificing accuracy. This is more than just a step change; it’s a whole new paradigm that opens limitless possibilities for innovation across industries.’