QuantrolOx raises €12 million Series A to automate quantum computer tuning

Funding and investors

QuantrolOx has secured €12 million in a Series A funding round led by IW Capital, with participation from existing investors including the European Innovation Council (EIC) Fund, Transpose Capital, Hoxton Ventures, and Hermann Hauser, co-founder of Arm. The funds will be used to accelerate commercial growth and expand the company’s operations in the US.

Hermann Hauser, a prominent figure in European deeptech, has been involved in QuantrolOx since its early stages. His participation underscores the company’s focus on bridging the gap between academic research and industrial-scale quantum computing.

Technology and performance

QuantrolOx develops machine learning-based software to automate the tuning and control of quantum hardware. According to the company, its technology tuned quantum devices in under 70 minutes, surpassing human benchmarks. This addresses a major bottleneck in quantum computing: the manual and time-intensive process of calibrating hardware for optimal performance.

The startup’s approach leverages AI to industrialize quantum hardware, reducing the need for specialized expertise and accelerating the deployment of quantum computers. This could lower barriers for companies entering the quantum space and improve the reliability of quantum systems.

Founding team and background

The company was co-founded by Vishal Chatrath (CEO), a former Nokia executive; Andrew Briggs, emeritus professor of nanomaterials at the University of Oxford; Natalia Ares, a research fellow at Oxford and serial deeptech entrepreneur; and Dominic Lennon, chief product officer, who developed the platform during his DPhil at Oxford.

QuantrolOx is headquartered in Finland, with roots in research from the University of Oxford. The team combines expertise in quantum physics, machine learning, and hardware automation, positioning the company at the intersection of academia and industry.

Market and commercial focus

QuantrolOx’s software targets a critical challenge in quantum computing: the manual tuning of hardware, which currently limits scalability and commercial viability. By automating this process, the company aims to standardize quantum hardware control and reduce operational complexities for end-users.

With the new funding, QuantrolOx plans to expand its commercial efforts in the US, a key market for quantum technology. The company’s technology could also support training for engineers and operators, further broadening its impact on the quantum ecosystem.

What this means

Lazyfounder analysis — our interpretation, not reported fact.

QuantrolOx’s funding and technology highlight a growing focus on the practical challenges of quantum computing, not just theoretical advances. For founders and operators, this is a signal that the quantum market is evolving toward industrialization—where software and automation will play as critical a role as hardware.

The involvement of Hermann Hauser and Arm’s legacy in the investor base may also suggest a strategic link between quantum computing and semiconductor innovation. While Arm’s recent benchmarks in AI workloads (as seen in our earlier reporting) are distinct from quantum, the alignment of investors points to a broader trend: deeptech infrastructure is becoming a key area of investment, with potential synergies between AI, semiconductors, and quantum technology.

For startups in quantum or adjacent fields, QuantrolOx’s approach offers a blueprint: addressing hardware limitations with software layers could be a faster path to commercialization than waiting for breakthroughs in qubit stability or error correction. Operators in industries exploring quantum—such as materials science, cryptography, or logistics—should note that automation tools like QuantrolOx’s could accelerate their ability to experiment with quantum systems.

Key takeaways

• QuantrolOx’s €12 million Series A reflects investor confidence in software-driven solutions for quantum computing’s hardware bottlenecks, a trend that could lower barriers for new entrants in the space.
• The company’s focus on automating quantum tuning directly addresses a pain point for operators: manual calibration is slow and requires specialized expertise. Software like QuantrolOx’s could make quantum systems more accessible to industries without in-house quantum teams.
• Expansion into the US market signals growing demand for quantum solutions beyond Europe, particularly in sectors like defense, finance, and pharmaceuticals.
• Hermann Hauser’s involvement links QuantrolOx to a broader ecosystem of deeptech and semiconductor innovation, which may create opportunities for collaboration or competition in infrastructure-focused startups.

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