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AI Company Earns National Science Foundation Award

Award was given to ExLattice for for develping its accelerated simulation engine dedicated to additive manufacturing.

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By DE Editors  

August 19, 2022

ExLattice, Inc, a manufacturing AI company, has received a Phase I award from the National Science Foundation (NSF) Small Business Innovation Research (SBIR) Program for developing its accelerated simulation engine dedicated to additive manufacturing.

The Phase I SBIR grant, valued at over $250,000, will be used to develop and validate ultrafast manufacturing simulation solutions in collaboration with multiple universities. The goal is to cut the time-consuming steps in computation and deliver real-time engineering solutions for users to understand, control and improve additive manufacturing systems and outcomes.  

"Receiving the SBIR award from NSF is another proof of our vision in engineering software for digital manufacturing," says Dr. Runze Huang, CEO, ExLattice. "The NSF SBIR grant not only provides us the resources, but a platform to collaborate with leading experts in academia and great business partners in bringing AI to manufacturing."

About NSF's Small Business Programs

America's Seed Fund powered by NSF awards $200 million annually to startups and small businesses, helps advance scientific discovery into products and services with commercial and societal impact. Startups in science and technology can receive up to $2 million to support research and development. America's Seed Fund is congressionally mandated through the Small Business Innovation Research program. The NSF, an independent federal agency with a budget of about $8.8 billion, supports research and education in science and engineering. For more information, click here. 

About ExLattice

Founded in 2018 in Raleigh, NC, ExLattice is a software venture aiming at bringing next-generation engineering software solutions to advanced manufacturing. The company develops and provides AI-powered simulation for manufacturing hardware.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

 
 

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