Artificial intelligence has transformed industries ranging from software development and finance to healthcare and content creation, yet hardware engineering remains constrained by one of its oldest bottlenecks: physics simulation. Designing advanced products in sectors such as aerospace, automotive, and energy still requires enormous computational resources and long development cycles built around highly complex simulations. Many engineering teams are forced to simplify physics models just to make runtimes manageable, often sacrificing accuracy in the process. Finnish technology company Quanscient is developing a new approach that combines cloud based multiphysics simulation, quantum algorithms, and AI to modernise how industrial products are designed and tested.
Quanscient has raised €10 million in a Series A funding round led by 55 North and B and C Group.
The round also included participation from existing investors Maki vc, Crowberry Capital, QAI Ventures, and First Fellow Partners.
The funding will support international expansion and further development of the company’s simulation, quantum computing, and AI technologies.
Rebuilding Simulation for the AI Era
Quanscient focuses on cloud based multiphysics simulation systems designed to improve both the speed and quality of hardware engineering.
According to the company, many current engineering workflows still rely on fragmented and time consuming simulation systems that limit the amount of data available for AI driven optimisation.
Research conducted by Quanscient found that engineers frequently simplify physics models to reduce runtimes, which can compromise simulation accuracy and limit product optimisation opportunities.
At the same time, existing AI systems struggle to model real world physics effectively because they lack access to large volumes of high quality multiphysics data.
Quanscient believes solving these problems requires rebuilding simulation infrastructure itself.
Combining Cloud Simulation, Quantum Computing, and AI
The company’s platform is designed to make multiphysics simulations fully code driven and cloud scalable.
By running simulations across scalable cloud infrastructure, Quanscient can generate significantly larger datasets describing real world physical behaviour.
Those datasets can then be used to train AI systems capable of supporting more advanced engineering design and optimisation processes.
According to Juha Riippi, AI’s impact on hardware engineering will remain limited unless the underlying simulation infrastructure evolves to support data driven workflows.
Riippi said Quanscient’s goal is to transform simulation from an engineering bottleneck into the engine powering AI assisted hardware design.
Reducing Reliance on Physical Prototypes
Quanscient’s technology is designed to support fully digital product development and testing workflows.
Rather than relying heavily on physical prototypes throughout the design process, engineers can evaluate multiple design options digitally earlier in development cycles.
The company says its systems significantly reduce simulation runtimes while AI integration helps identify optimal engineering trade offs and design decisions more efficiently.
This approach could help industries shorten development timelines, reduce costs, and improve product performance simultaneously.
The platform is targeted at sectors where advanced simulation plays a critical role, including energy systems, aerospace engineering, and automotive manufacturing.
Building Physics Aware AI Models
Quanscient also sees broader opportunities emerging at the intersection of physics simulation and AI.
Riippi said the company’s architecture for cloud and quantum simulation forms the foundation for a new category of physics aware AI models designed specifically for hardware engineering applications.
The company believes future engineering AI systems will require deep integration with accurate physical simulation environments rather than relying solely on traditional machine learning techniques.
Expanding Across Global Industrial Markets
According to Quanscient, its technology is already being used by industrial customers across Europe, North America, and Japan, including multiple Fortune 100 companies.
The newly secured funding will help accelerate international growth while supporting development of a unified platform combining cloud simulation, quantum algorithms, and AI integration.
As industries increasingly seek faster and more accurate ways to design complex products, companies capable of modernising engineering simulation infrastructure for the AI era are becoming an increasingly important part of the future industrial technology landscape.
