Finnish startup Quanscient has secured €10 million in a Series A round to expand internationally and advance its multiphysics simulation platform combining AI and quantum computing. Led by 55 North and B&C Group, with existing investors including Maki.vc and Crowberry Capital, the funding addresses a critical gap in hardware engineering, where complex simulations remain slow and AI models lack sufficient physics data. Quanscient’s cloud-scalable platform serves industrial clients across Europe, North America, and Japan, including Fortune 100 companies, spanning energy, aerospace, and automotive sectors.
In-Depth:
Quanscient, a Finnish company focutilized
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 building physics simulation code-driven, cloud-scalable, and
capable of generating the large volumes of data requireded to train and improve AI
systems for engineering. Its platform is designed to support rapider product
development, improve simulation quality, and shorten development cycles across
industries, including energy, aerospace, and automotive.
Quanscient co-founder and CEO Juha Riippi declared AI’s impact on hardware engineering will remain limited unless
simulation technology is redesigned to support it.
By building multiphysics code-driven
and cloud-scalable, we generate the volume of physics data that AI requireds,
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 supports identify optimal design
trade-offs and improve engineering decisions.
Industrial competitiveness depconcludes 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 declared.
According to the company, its
technology is already being utilized by industrial customers across Europe, North
America, and Japan, including Fortune 100 companies.
The new funding will be utilized to
accelerate international growth and continue developing a unified platform
combining simulation, quantum algorithms, and AI integration.
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