Component selection tool employs AI algorithms

The AI-assisted component selection tool accelerates design process by connecting developers with suppliers in an automated way. The post Component selection tool employs AI algorithms appeared first on EDN.

Component selection tool employs AI algorithms
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An artificial intelligence (AI)-assisted hardware design platform enables engineers to find the right components for their design projects using machine learning and smart algorithms. It selects the ideal set of components while providing deliverables of architectural design, ECAD native schematics, bill of materials, footprints, and project information summary.

The CELUS design platform transforms technical requirements into schematic prototypes in less than an hour, allowing developers and engineers to move from concept to reality with unprecedented efficiency and precision. Moreover, with projects often comprised of anywhere from 200 to 1,000 individual components, it simplifies the complexities of electronic design and accelerates time to market for new products.

The design platform provides an automated way to transform technical requirements into schematic prototypes in record time. Source: CELUS

At a time when there is an increasing need for more efficient design processes, finding the right components for projects can be overwhelming and time-consuming. The CELUS platform streamlines the design process and provides real-time component recommendations that work.

“With more than 600 million components available to electronics designers, the task of identifying and selecting the ones right for any given project is at best a challenge,” said Tobias Pohl, co-founder and CEO of CELUS. “We developed the CELUS design platform to handle the heavy lifting and intricate details of product design to drive innovation and expand demand creation in a fraction of the time required of traditional approaches.”

We were told that such a system was impossible, but we did it and are now expanding its reach to end users and component suppliers around the world, Pohl added. CELUS aims to transform the $1.4 trillion component industry by aiding the circuit board design market through its unique design automation process.

While CELUS minimizes the time engineers spend identifying disparate component pieces, it also allows component suppliers to easily connect with design engineers for faster market integration and broader reach. Furthermore, this connection via engineering tools like CELUS enables component suppliers to reach developers and engineers who may not be accessible through traditional channels.

CELUS, based in Munich, Germany, is expanding the reach of its cloud-based design platform in the United States by setting up a U.S. headquarters in Ausin, Texas. The company has been founded by a team of mechanical, electrical, and aeronautical engineers and is backed by an advisory board of top industry experts.

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The post Component selection tool employs AI algorithms appeared first on EDN.

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