-
SiC Systems, together with ORCA Computing, Novo Nordisk and the Technical University of Denmark, has won the prestigious Hyperion HPC Innovation Excellence Award for groundbreaking research in the field of AI and quantum computing.
-
The research shows how AI can be used to detect small errors in highly valuable manufacturing processes before they become expensive problems.
-
SiC Systems is now exploring a range of industrial applications with high impact for the technology.
NASHVILLE, TN / ACCESS Newsline / November 19, 2025 / Groundbreaking research has highlighted how AI and quantum computing can be used to identify small, otherwise undetectable errors in manufacturing processes. This means they can be mitigated before they become expensive problems to solve.
L-R: Seyed Soheil Monsouri and Christopher J. Savoie
The research, conducted by SiC Systems, Inc.ORCA Computing, Novo Nordisk and the Technical University of Denmark have won the 2025 HPC Innovation Excellence Award, the world’s most prestigious High Performance Computing award.
The award-winning research used quantum computing to improve on traditional AI, allowing the team to create a high-resolution ‘digital twin’ of a biomanufacturing plant that could model normal operations accurately and in great detail. This allowed the AI to detect small defects in raw materials that could cost manufacturers millions of dollars in lost revenue.
The groundbreaking research shows that unsupervised AI, enhanced by quantum computing, can monitor complex systems without prior information about what errors look like. It also shows how quantum computers, even in their current early stages of maturity, can be put to practical use.
Dr. Christopher Savoie, Founder and CEO of SiC Systems, said:
“Winning the HPC Innovation Excellence Award is a real honour. It is a real validation of the major breakthrough our research has delivered in demonstrating how smarter monitoring can lead to more reliable production processes.
“We have shown that quantum computing is not an all-or-nothing future technology. It is already being pragmatically integrated to solve tangible problems. By creating better synthetic data to overcome the scarcity of real-world examples of failure, quantum-enhanced AI sharpens the ‘senses’ of industrial monitoring systems.”
Dr. Richard Murray, co-founder and CEO of ORCA Computing, said:
“This joint effort and recognition is a testament to the value of transatlantic collaboration between industry and academia to solve the world’s most pressing challenges.”
Dr. Kris Kaczmarek, Investment Director at QDNL Participations, said:
“This achievement, together with the recent announcements from Google and Quantinuum, will be remembered as the moment we entered the era of quantum advantage and we are incredibly proud to have supported the team making history.”
Prof. Seyed Soheil Mansouri, founder of SiC Systems and associate professor at the Technical University of Denmark, said:
“This is a significant achievement for us within the process systems engineering domain to truly bridge scientific curiosity with real-world applications applied to biomanufacturing. We continue our efforts to demonstrate near-term industrial applications of quantum computing and Agentic AI to bring them to the manufacturing floor.”
SiC Systems was founded by Christopher J. Savoie – whose groundbreaking work with AI agents has led to the assistants we know today in mobile devices, smart speakers and beyond – and Seyed Soheil Monsouri, Professor of Process Systems Engineering at the Technical University of Denmark (DTU), a pioneer in applying model-based tools to complex multi-scale dynamic systems, including quantum computing for (bio- and chemical) manufacturing applications. Prof Mansouri is the lead author of the recent research that led to this award.
The company launched last month with a funding round led by QDNL Participations, with participation from Propagator Ventures, Plug and Play and Wavepeak Ventures.
SiC Systems is now exploring use cases for its technology to improve a range of complex industrial processes.
The results of the study were released publicly last month and can be found here in the newspaper Quantum-enhanced ensemble GANs for anomaly detection in continuous biomanufacturingby Rajiv Kailasanathan, William R. Clements, Mohammad Reza Boskabadi, Shawn M. Gibford, Emmanouil Papadakis, Christopher J. Savoie and Seyed Soheil Mansouri.
SOURCE: SiC Systems, Inc.