A new €10 million Series A funding round is driving a complete overhaul of Quanscient’s hardware engineering, addressing critical bottlenecks identified in a recent investigation into the company. In other words, 89% of engineers routinely simplify physical models due to runtime limitations. The Finnish technology company is building a cloud-based platform designed to integrate simulation, quantum algorithms and artificial intelligence, aiming to provide the amount of data AI needs to accelerate product development across sectors such as energy, aerospace and automotive. Fortune 100 companies in Europe, North America, and Japan are already using Quanscient’s technology to improve their research and development processes. “AI will not transform hardware engineering unless simulation itself is re-engineered for AI,” said Quanscient co-founder and CEO Juha Riippi, explaining the company’s focus on code-driven, cloud-scalable multiphysics simulation.
Accelerate hardware engineering with cloud-scalable multiphysics simulation
A recent study by Quanscient revealed that 89% of engineers are forced to sacrifice the fidelity of their physical models due to computational runtime limitations. This widespread simplification highlights a critical bottleneck in modern hardware engineering and highlights the urgent need for more powerful simulation tools. The Finnish technology company is currently taking on this challenge with a recently secured €10 million Series A funding round led by Danish quantum fund 55 North and Austrian industrial investor B&C Group, with participation from existing investors, demonstrating strong investor confidence in the convergence of quantum computing, artificial intelligence and advanced hardware development. Quanscient’s approach focuses on reimagining physics simulation as code-driven and cloud-scalable, a fundamental shift designed to generate the large-scale datasets needed for effective AI learning.
This is not just about speeding up processing. It’s about enabling a new paradigm for product development and helping engineers overcome the slow, iterative trial-and-error processes that currently dominate the field. According to Quanscient, “By making multiphysics code-driven and cloud-scalable, we generate the massive amounts of physical data that AI requires, turning simulation from a bottleneck to an engine for data-driven design.” The platform’s capabilities are extended to reduce runtime by up to 99% and run simulations up to 100 times faster, facilitating fully digital product development that minimizes dependence on expensive physical prototypes.
Beyond speed, Quanscient’s AI integration identifies optimal design trade-offs and uncovers solutions previously inaccessible through traditional methods. This combination of speed and insight is expected to be particularly valuable in demanding fields such as nuclear fusion, advanced electronics, and quantum technology. Helmut Katzgraber, chief scientific officer and general partner at 55 North, says engineering teams are under pressure to explore a much wider design space and more complex physics than what traditional tools were built for.
The convergence of quantum algorithms and artificial intelligence is rapidly reshaping product development and testing, moving beyond theoretical possibilities and delivering demonstrable impact in key industry sectors. This pervasive problem highlights critical bottlenecks in the design process and requires new approaches to accurately model complex physical phenomena. The company’s platform enables simulations up to 100 times faster, with runtime reductions of up to 99%, and allows engineers to explore a significantly larger design space.
Engineering teams are under pressure to explore a much wider design space and more complex physics than traditional tools have built. Quanscient’s cloud-native multiphysics platform, combined with its forward-thinking work on quantum algorithms and AI tools, provides customers with future-proof throughput incremental changes without sacrificing accuracy.
Helmut Katzgraber, Chief Scientific Officer and General Partner, 55 North
