Finland-based technology firm Quanscient has raised €10 million through a Series A funding round to accelerate its international expansion and strengthen its position as a leader in multiphysics simulations, quantum algorithms and AI-native hardware engineering.
The round was led by Danish quantum fund 55 North and Austrian industrial investor B&C Group with full re-participation from existing investors Maki.vc, Crowberry Capital, QAI Ventures, and First Fellow Partners.
Quanscient said that while AI has transformed nearly every field, hardware engineering remains constrained.
Engineers still rely on complex, slow, trial-and-error processes. According to Quanscient’s recent study, 89% of engineers routinely simplify their physics models just to fit within runtime budgets.
Current AI models can’t accurately simulate real-world physics and lack the data to learn it. As a result, simulation remains an engineering bottleneck.
Quanscient addresses this challenge by building physics simulation as code-driven, cloud-scalable, and built to generate the volume of multiphysics data that AI needs to learn from.
The platform enables faster, higher-quality product development and accelerates time-to-market across industries including energy, aerospace, and automotive.
With the support of new funding, Quanscient is accelerating its international expansion and advancing the development of the market’s first platform that unifies simulation, quantum algorithms, and AI integration.
“AI will not transform hardware engineering unless simulation itself is rebuilt for it,” said Quanscient co-founder and CEO Juha Riippi.
“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,” said Riippi. “This brings to hardware engineering the same shift AI has delivered for software.”
Quanscient enables fully digital product development and testing, reducing the need for costly physical prototypes. Engineers can evaluate multiple design options early, reducing risk and improving the performance of the final product.
The platform delivers up to 100× faster simulations, cutting runtimes by up to 99%. The AI integration further enhances design by identifying optimal trade-offs, accelerating the path from concept to implementation, and uncovering otherwise hidden solutions.
“Industrial competitiveness depends on both speed and accuracy,” said Riippi. “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.”
“Engineering teams are under pressure to explore much larger design spaces and more complex physics than legacy tools were built for,” said Helmut Katzgraber, chief science officer and general partner at 55 North.
He said 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.
“We are convinced that Quanscient, with its approach at the intersection of simulation, quantum computing, and AI, is setting a new standard for the development of physical products,” said Julia Reilinger, managing director at B&C Group.
“As an investor in industrial tech companies that deliver clear value to industry, we see technologies like these as key to strengthening Europe’s industrial innovation capacity in the long term,” said Reilinger.
