Quanscient, founded in 2021 in Tampere, develops cloud-based multiphysics simulation software for engineers designing physical products such as motors, antennas, and fusion magnets. The platform is code-driven and cloud-scalable, aiming to generate large volumes of multiphysics data needed for machine-learning models. The €10 million Series A round is led by 55 North and B&C Group, with existing backers re-participating. Funding is intended for international expansion and for building what the company describes as the first platform unifying simulation, quantum algorithms, and AI integration. A 2025 survey indicates 89% of engineers simplify physics models to meet runtime budgets, limiting data richness for physics-aware AI. The platform claims simulations up to 100 times faster, reducing runtimes by up to 99%.
"Quanscient pitches its platform as code-driven, cloud-scalable, and built to generate the volume of multiphysics data that machine-learning models will need to learn from. The Series A is earmarked for international expansion and for what the company describes as the market's first platform to unify simulation, quantum algorithms and AI integration. The funding lands at a moment when hardware engineering is, as Quanscient's own 2025 study argues, stuck."
"According to the company's survey, 89% of engineers routinely simplify their physics models to fit within runtime budgets. The implication is that the data generated by current simulation workflows is not rich enough to train the kind of physics-aware AI models that the next generation of design tools will rely on. Quanscient's platform claims simulations up to 100 times faster than incumbent tools, which the company says cuts runtimes by up to 99%."
""AI will not 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.""
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