Finnish technology company Quanscient has secured €10 million in a Series A funding round led by 55 North and B&C Group, demonstrating strong investor confidence in the future of AI-driven hardware engineering. The company is addressing significant bottlenecks in this area. A recent Quanscient study revealed that 89% of engineers regularly simplify their physical models due to runtime limitations. Quanscient’s approach centers on cloud-based multiphysics simulations, which generate the massive datasets needed for artificial intelligence to accurately learn real-world physics. “AI will not transform hardware engineering unless simulation itself is re-engineered for AI,” says Juha Riippi, co-founder and CEO of Quanscient, explaining that the platform’s purpose is to transform simulation from a constraint to an engine for data-driven design.
Quanscient accelerates expansion with €10 million Series A funding
The round was led by Denmark’s Quantum Fund 55 North and Austrian industrial investor B&C Group, with full participation from existing investors including Mr. Maki. VC and QAI Ventures have expressed confidence in Quanscient’s approach. The funding will facilitate international expansion and further development of a platform designed to integrate simulation, quantum algorithms, and the integration of artificial intelligence. The company’s platform has already attracted attention from Fortune 100 companies in Europe, North America, and Japan, promising up to 100x faster simulations and 99% reduction in execution time. Helmut Katzgraber, chief scientific officer and general partner at 55 North, believes Quanscient’s technology will become essential for innovators in areas such as nuclear fusion, advanced electronics and quantum technology. Julia Reilinger, Managing Director of B&C Group, added that the company is setting new standards in the development of physical products and strengthening its long-term industrial innovation potential across Europe.
Cloud-scalable multi-physics simulation enables AI integration
This simplification introduces inaccuracies and reduces design quality. Additionally, current artificial intelligence models struggle to accurately simulate real-world physics because they lack the data necessary for effective learning. Quanscient addresses this fundamental limitation by building code-driven, cloud-scalable physics simulations specifically designed to generate the large amounts of multiphysics data required for AI training. The company’s platform is not just about speeding up processing. The aim is to fundamentally change the design process. The platform reduces runtime by up to 99%, delivers up to 100x faster simulations, and integrates AI to identify optimal design tradeoffs and uncover solutions hidden by traditional methods.
AI will not transform hardware engineering unless the simulation itself is rebuilt for AI. By making multiphysics code-driven and cloud-scalable, you generate the massive amounts of physical data that AI requires, turning simulation from a bottleneck to an engine for data-driven design. This will bring the same changes to hardware engineering that AI brought to software.
Quanscient Platform Enables R&D Up to 100x Faster
Juha Riippi, co-founder and CEO of Quanscient, envisions a new approach to simulation that will fundamentally change hardware engineering. The Finnish technology company recently secured €10 million in Series A funding to expand its cloud-based multiphysics simulation platform. This platform is a system designed to overcome the limitations that currently prevent the application of artificial intelligence to physical design. According to Riippi, this bottleneck stems from the inability of current AI models to accurately simulate real-world physics, and Quanscient aims to address this flaw by generating vast amounts of multiphysics data. “Quantscient’s cloud-native multiphysics platform, combined with our forward-thinking work on quantum algorithms and AI tools, provides customers with future-proof throughput incremental changes without sacrificing accuracy,” he said, highlighting its potential impact on areas such as nuclear fusion and advanced electronics. “Industrial competitiveness depends on both speed and precision,” Riippi added, positioning Quanscient as a leading enabler of innovation in physical product development.
Industrial competitiveness depends on both speed and precision. The architecture we built for cloud and quantum simulation is also the foundation for a whole new category of AI, enabling the physically aware AI models that hardware engineering has been waiting for.
