Quanscient, a Finnish cloud-based multiphysics simulation and quantum algorithms company, has raised €10 million in a Series A funding round led by 55 North and B&C Group. Existing investors including Maki.vc, Crowberry Capital, QAI Ventures, and First Fellow Partners also joined the round. The funding will support international expansion and development of AI-native engineering technologies.
Rebuilding Hardware Simulation for AI
Quanscient develops cloud-native simulation technology designed to improve hardware engineering workflows across industries including aerospace, automotive, and energy. The platform combines multiphysics simulations, quantum algorithms, and AI integration to help engineering teams accelerate product development and reduce reliance on physical prototypes.
According to the company, many engineers still simplify physics models due to computing limitations, creating bottlenecks in hardware innovation. Quanscient aims to solve this by generating large-scale physics data that AI systems can use for more accurate simulations and design optimization.
Scaling Cloud-Native Engineering Tools
The company says its platform delivers simulations up to 100 times faster while improving design exploration and reducing development risks. Industrial customers across Europe, North America, and Japan already use the platform, including several Fortune 100 companies.
“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. This brings to hardware engineering the same shift AI has delivered for software," says Quanscient co-founder and CEO Juha Riippi.
Expanding Quantum and AI Capabilities
The new investment will help Quanscient strengthen its position in AI-native hardware engineering while expanding development of unified simulation and quantum computing infrastructure.
“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 says.