AI

Finland’s Quanscient raises €10M to build a quantum- and AI-native simulation platform

At a glance:

  • Tampere-based Quanscient raises €10M Series A to scale its cloud-based multiphysics simulation platform.
  • Funding led by Danish quantum fund 55 North and Austrian industrial investor B&C Group, with participation from existing backers Maki.vc, Crowberry Capital, QAI Ventures, and First Fellow Partners.
  • Platform aims to unify simulation, quantum algorithms, and AI to accelerate hardware design for industries like fusion, advanced electronics, and quantum technologies.

Funding round and lead investors

Quanscient, a Tampere-based startup founded in 2021, has closed a €10 million Series A funding round to scale its innovative simulation platform. The round was led by Danish quantum fund 55 North and Austrian industrial investor B&C Group, with full re-participation from existing backers including Maki.vc, Crowberry Capital, QAI Ventures, and First Fellow Partners. This investment brings the company's total funding to approximately €19 million, following earlier seed and growth tranches such as a €5.2m round led by Crowberry Capital in late 2024.

55 North, headquartered in Copenhagen, is a relatively new player on the European venture map but has quickly established itself as a major force in quantum technology. The firm announced the first close of its €300m quantum fund in October 2025 at €134m, making it the largest dedicated pure-play quantum venture vehicle in the world. Led by Owen Lozman, formerly of M Ventures, alongside computational physicist Helmut Katzgraber (previously at Amazon and Microsoft) and Kai Hudek (formerly of IonQ), 55 North is backing Quanscient alongside other notable investments like Finnish quantum-hardware unicorn IQM and German cryogenics specialist Kiutra.

Technology innovation and market need

Quanscient's platform is designed for engineers working on physical products such as motors, antennas, and fusion magnets—hardware where small modeling errors can lead to expensive corrections. The company pitches its software as code-driven, cloud-scalable, and built to generate the high volume of multiphysics data required for training machine-learning models. According to Quanscient, its simulations are up to 100 times faster than those of incumbent tools, cutting runtimes by as much as 99%. This performance boost is critical for enabling AI-driven design workflows.

The need for such technology is underscored by Quanscient's own 2025 study, which found that 89% of engineers routinely simplify their physics models to stay within runtime budgets. This simplification results in data that is too sparse to train the next generation of physics-aware AI models. "AI will not transform hardware engineering unless simulation itself is rebuilt for it," said Juha Riippi, Quanscient's co-founder and CEO. By making multiphysics simulation code-driven and cloud-scalable, the platform aims to turn simulation from a bottleneck into the engine of data-driven design.

Investor rationale and strategic fit

For 55 North, Quanscient represents a strategic investment in a company that addresses fundamental challenges in engineering simulation. Helmut Katzgraber, the firm's chief science officer and general partner, highlighted the pressure on engineering teams to explore larger design spaces and more complex physics than legacy tools can handle. He specifically flagged nuclear fusion, advanced electronics, and quantum technologies as key customer segments where Quanscent's throughput claims matter most. "Engineering teams are under pressure to explore much larger design spaces and more complex physics than legacy tools were built for," Katzgraber said, emphasizing the alignment with 55 North's focus on quantum and deep-tech innovation.

B&C Group's participation comes through B&C Innovation Investments (BCII), its industrial-tech arm. BCII is majority owner of companies like Lenzing, AMAG, and Semperit, indicating a strong industrial focus. Julia Reilinger, BCII's managing director, stated, "We see technologies like these as key to strengthening Europe's industrial innovation capacity in the long term." This investment reflects B&C's strategy to back technologies that enhance industrial efficiency and competitiveness, particularly in high-tech sectors.

Company background and expansion plans

Quanscient was founded in 2021 by Juha Riippi, Alexandre Halbach, Asser Lähdemäki, and Valtteri Lahtinen, with Andrew Tweedie joining as a fifth co-founder in 2024. The company employs 40 people across 15 nationalities and counts Fortune 100 manufacturers among its customers in Europe, North America, and Japan. This global footprint underscores the demand for advanced simulation tools in major industrial markets.

The new funding is earmarked for international expansion and for developing what Quanscient describes as the market's first platform to unify simulation, quantum algorithms, and AI integration. As hardware engineering evolves toward more complex systems, Quanscient's approach could redefine how simulation data fuels AI-driven design. With strong investor backing and a clear technological thesis, the company is poised to expand its reach and impact in the coming years.

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FAQ

What is Quanscient's simulation platform designed to do?
Quanscient's platform is designed to provide cloud-based multiphysics simulation for engineers, integrating quantum algorithms and AI to generate rich physics data for training machine-learning models. It claims simulations up to 100 times faster than incumbent tools, cutting runtimes by up to 99%, which helps in designing complex hardware like motors, antennas, and fusion magnets.
Who led the €10M Series A funding round for Quanscient?
The Series A round was led by Danish quantum fund 55 North and Austrian industrial investor B&C Group. 55 North, which announced the first close of its €300m quantum fund in October 2025, is the largest dedicated pure-play quantum venture vehicle globally. B&C Group participated through its industrial-tech arm, B&C Innovation Investments.
Why is Quanscient's technology considered important for hardware engineering?
According to Quanscient's 2025 study, 89% of engineers simplify their physics models to fit within runtime budgets, leading to data that is not rich enough to train physics-aware AI models. Quanscient's platform aims to solve this by making simulation code-driven and cloud-scalable, generating the volume of physics data that AI needs, thus turning simulation from a bottleneck into an engine for data-driven design.

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