Quanscient Raises $11M for AI Simulation Platform

Jan de Vries · 2026-05-26

Finnish startup Quanscient just locked in a $11 million Series A round to push its cloud-based multiphysics simulation platform into new markets. The Tampere-based company is building something that could change how hardware engineers design everything from jet engines to fusion reactors. ### The Funding Details The round was led by Danish quantum fund 55 North and Austrian industrial investor B&C Group. Existing backers Maki.vc, Crowberry Capital, QAI Ventures, and First Fellow Partners all joined in again. That's a good sign - when previous investors double down, it usually means they see real traction. Quanscient's tech is built for the AI era. Their platform runs multiphysics simulations in the cloud and uses quantum algorithms to solve problems that traditional tools just can't handle fast enough. The goal? Turn simulation from a bottleneck into the engine that drives hardware innovation.  ### Why Hardware Engineering Needs This Here's the problem Quanscient is tackling. AI has transformed software development, but hardware engineering is still stuck in the slow lane. Engineers rely on complex, trial-and-error processes that take forever. According to Quanscient's own research, 89% of engineers regularly simplify their physics models just to meet runtime limits. That means they're cutting corners on accuracy to get results at all. Current AI models can't replicate real-world physics well either. They don't have enough data to learn how things actually behave. So simulation remains a major bottleneck in product development. ### What Makes Quanscient Different Quanscient flips the script by making simulation code-driven and cloud-scalable. Their platform generates the massive volume of multiphysics data that AI needs to learn from. This lets engineers test more design options faster, without sacrificing accuracy. - Simulations run up to 100 times faster, cutting runtimes by as much as 99% - Engineers can evaluate multiple design options early, reducing risk - Physical prototypes become less necessary, saving time and money - AI integration helps identify optimal trade-offs and hidden solutions Juha Riippi, Quanscient's co-founder and CEO, put it this way: "AI will not transform hardware engineering unless simulation itself is rebuilt for it. By making multiphysics code-driven and cloud-scalable, we generate the volume of physics data that AI needs, turning simulation from a bottleneck into the engine of data-driven design." ### The Team Behind the Tech Quanscient was founded in 2021 by Juha Riippi, Alexandre Halbach, Asser Lähdemäki, and Valtteri Lahtinen. Andrew Tweedie joined as the fifth founder in 2024. Today, the global team includes 40 experts from 15 countries. Major industrial firms in Europe, North America, and Japan - including Fortune 100 companies - already use Quanscient to speed up their R&D. ### What's Next With this fresh funding, Quanscient plans to accelerate its international expansion and develop what it calls "the market's first platform that unifies simulation, quantum algorithms, and AI integration." Helmut Katzgraber from lead investor 55 North said, "Engineering teams are under pressure to explore much larger design spaces and more complex physics than legacy tools were built for. Quanscient's cloud-native multiphysics platform, combined with forward-looking work on quantum algorithms and AI tools, gives customers a future-proof step-change in throughput without sacrificing accuracy." The company believes this capability will be critical for innovators in nuclear fusion, advanced electronics, and quantum technologies. For hardware engineers tired of waiting on slow simulations, Quanscient might just be the breakthrough they've been waiting for.