Quanscient Raises $10.6M to Speed Up Multiphysics Simulation

Jan de Vries · 2026-05-26

Quanscient, a Finnish startup based in Tampere, just locked in a $10.6 million Series A round (that's €10 million converted to USD). They're building cloud-based multiphysics simulation tech and quantum algorithms, and this cash is meant to fuel their global push. ### Who Led the Round? The funding 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 jumped back in too. "AI won't transform hardware engineering unless simulation itself is rebuilt for it," said Juha Riippi, Quanscient's co-founder and CEO. "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. This brings to hardware engineering the same shift AI has delivered for software."  ### The Problem They're Solving Here's the thing: AI has revolutionized tons of fields, but hardware engineering? Not so much. Engineers are still stuck with slow, complex trial-and-error processes. Quanscient's own research found that 89% of engineers routinely simplify their physics models just to meet runtime limits. Current AI models can't accurately replicate real-world physics because they lack enough data to learn from. So simulation remains a major bottleneck. ### How Quanscient Fixes It Quanscient flips the script by building physics simulation as code-driven and cloud-scalable. That means it can generate the mountain of multiphysics data AI needs to actually learn. The platform speeds up product development and cuts time-to-market across industries like energy, aerospace, and automotive. - Fully digital product development and testing cuts the need for pricey physical prototypes. - Engineers can evaluate multiple design options early, reducing risk and boosting final product performance. - Simulations run up to 100 times faster, slashing runtimes by up to 99%. - AI integration spots optimal trade-offs and reveals hidden solutions. "Industrial competitiveness depends on both speed and accuracy," Riippi added. "The architecture we've built for cloud and quantum simulation is also the foundation for an entirely new category of AI and will enable the physics-aware AI models that hardware engineering has been waiting for." ### The Team Behind It Quanscient was founded in 2021 by Juha Riippi, Alexandre Halbach, Asser Lähdemäki, and Valtteri Lahtinen. Andrew Tweedie joined as the fifth founder in 2024. The global team now includes 40 experts from 15 countries. Major industrial firms in Europe, North America, and Japan—including Fortune 100 companies—rely on Quanscient to accelerate their R&D. ### What Investors Say Helmut Katzgraber, Chief Science Officer and General Partner at 55 North, explained: "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." He added: "We believe this capability will be critical for innovators in areas like nuclear fusion, advanced electronics, and quantum technologies, and we are thrilled to back the team on this journey." ### What's Next With this fresh funding, Quanscient plans to accelerate its international expansion and push forward the development of the market's first platform that unifies simulation, quantum algorithms, and AI integration. It's a big bet, but if they pull it off, hardware engineering could finally get the AI boost it's been waiting for.