Quanscient will use new funding to expand internationally and advance its cloud-based simulation platform designed to support AI-driven hardware engineering and faster product development.
Quanscient, a Finnish company focused on cloud-based multiphysics simulation technology and quantum algorithms, has raised €10 million in a Series A funding round to support its international expansion and further develop its simulation, quantum computing, and AI capabilities.
The round was led by 55 North and B&C Group, with participation from existing investors Maki.vc, Crowberry Capital, QAI Ventures, and First Fellow Partners.
While AI has reshaped many industries, hardware engineering continues to rely heavily on complex and time-consuming simulation processes. According to research conducted by Quanscient, many engineers simplify physics models to keep runtimes manageable, limiting the accuracy and effectiveness of simulations. At the same time, existing AI models struggle to accurately represent real-world physics due to limited access to high-quality multiphysics data.
Quanscient aims to address these limitations by making physics simulation code-driven, cloud-scalable, and capable of generating the large volumes of data needed to train and improve AI systems for engineering. Its platform is designed to support faster product development, improve simulation quality, and shorten development cycles across industries, including energy, aerospace, and automotive.
Quanscient co-founder and CEO Juha Riippi said AI’s impact on hardware engineering will remain limited unless simulation technology is redesigned to support 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. This brings to hardware engineering the same shift AI has delivered for software.
Quanscient’s platform supports fully digital product development and testing, reducing reliance on physical prototypes and allowing engineers to evaluate multiple design options earlier in the development process. Its technology is designed to significantly reduce simulation runtimes, while AI integration helps identify optimal design trade-offs and improve engineering decisions.
Industrial competitiveness depends on both speed and accuracy. 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,
Riippi said.
According to the company, its technology is already being used by industrial customers across Europe, North America, and Japan, including Fortune 100 companies.
The new funding will be used to accelerate international growth and continue developing a unified platform combining simulation, quantum algorithms, and AI integration.