Quanscient Secures €10M to Rebuild Hardware Simulation for AI
Finnish software company Quanscient has raised €10 million in Series A funding to address a critical problem in product development: engineers are forced to simplify physics models to stay within computational time limits. The funding, led by Danish quantum fund 55 North and Austrian industrial investor B&C Group, will support Quanscient's cloud-based platform that combines simulation, quantum algorithms, and AI to accelerate hardware design across energy, aerospace, and automotive sectors.
A Quanscient study found that 89% of engineers routinely compromise the accuracy of their physics models due to runtime constraints. This widespread workaround slows product development and forces teams to rely on expensive physical prototypes rather than digital alternatives.
The Bottleneck in Hardware Engineering
Current simulation tools weren't built for the scale of data that modern AI systems require. Legacy software forces engineers into slow, iterative trial-and-error cycles that limit how many design variations they can explore.
Quanscient's approach rebuilds physics simulation as code-driven and cloud-scalable software. By generating large volumes of physics data, the platform feeds AI systems with the information they need to identify optimal design trade-offs and uncover solutions that conventional methods would miss.
Speed and Scale
The platform delivers simulations up to 100 times faster, with runtime reductions reaching 99% in some cases. This speed allows engineers to explore significantly larger design spaces and model more complex physics than older tools support.
Faster simulation also reduces reliance on physical prototypes, cutting development costs and timelines. The approach is particularly valuable in fields like nuclear fusion, advanced electronics, and quantum technologies, where design complexity is high and prototyping is expensive.
Helmut Katzgraber, Chief Science Officer at 55 North, said engineering teams face pressure to explore larger design spaces and more complex physics than legacy tools were designed for. "Quanscient's cloud-native multiphysics platform, combined with quantum algorithms and AI tools, gives customers a step-change in throughput without sacrificing accuracy," he said.
Market Adoption
Fortune 100 companies in Europe, North America, and Japan are already using Quanscient's technology to improve research and development processes. The funding validates investor confidence in the convergence of quantum computing, AI, and hardware development.
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