QuantrolOx raises £10m led by IW Capital and the EIC Fund
This article covers QuantrolOx, a machine learning startup, which has raised £10m in a series A funding round to accelerate commercial growth and fund North American expansion following the opening of a Berkeley office. The funding will be used to scale its hardware-agnostic software that automates calibration and tuning of quantum computers, supporting research labs, hardware vendors and the broader quantum ecosystem.
QuantrolOx, a Finland-headquartered spin-out from the University of Oxford and a machine learning startup, has raised £10 million in a series A funding round to accelerate commercial growth and fund North American expansion after opening a Berkeley office. The deal will be used to scale the company’s hardware-agnostic software that automates the calibration and tuning of quantum computers — a practical bottleneck as quantum moves from lab demonstrations towards wider deployment.
Why it matters
Quantum computers require careful calibration and tuning before they can perform useful work, and the number of specialists who can do that is limited. Software that automates that process could reduce that labour bottleneck, speed research cycles and lower the operational cost of quantum hardware. QuantrolOx points to peer-reviewed research showing its machine learning methods tuned quantum devices in under 70 minutes, outperforming human benchmarks.
The funding lands as industry momentum grows: annual quantum-computing revenues have passed $1 billion, and McKinsey estimates the technology could generate $1.3–2.7 trillion in economic value by 2035. Recent US policy moves — including letters of intent for about $2.013 billion in incentives announced by the Department of Commerce in May 2026 — underline the geopolitical and commercial push behind quantum technologies.
Inside the product
QuantrolOx develops Quantum EDGE, a hardware-agnostic measurement and automation platform that automates calibration, characterisation and tuning across different quantum hardware architectures. The platform is intended to sit in the control layer of quantum systems so hardware vendors and labs can operate devices more reliably and at scale.
Its software is already in use in research labs at UC Berkeley and Academia Sinica in Taiwan, both major centres for quantum research, and integrates with hardware from partners including QuantWare and AQSolotl. The company recently launched Q-Hub at MAHE with Manipal Academy of Higher Education to build an open architecture quantum system in India. A five-year partnership with UC Berkeley aims to advance the industrialisation of superconducting quantum computing and underpins the new Berkeley office.
Who are the investors?
The series A was led by IW Capital, with co-investment from the European Innovation Council Fund and participation from Transpose VC. The £10 million raise will fund commercial expansion and the company’s planned North American growth following its Berkeley launch.
IW Capital framed the investment as part of a strategy to back high-growth businesses with novel technology and experienced management teams, providing capital to drive the next stage of commercial development.
Charlie Lyon Carroll, Investment Director at IW Capital, said:
Oxford physics, Finnish engineering and a CEO with a great commercialisation track record is a rare combination. QuantrolOx has automated the slowest, most expert-dependent part of running a quantum computer, on any hardware. With research accelerating and governments investing massive amounts of capital to support it, that software only gets more valuable. We're proud to be backing the team and look forward to helping them scale QuantrolOx into the control layer every quantum computer runs on.
Svetoslava Georgieva, President of the EIC Fund Board, said:
Quantum computing has enormous potential, but unlocking it means making quantum computers easier to operate and scale. By using AI to automate quantum computer tuning, QuantrolOx is tackling an important part of this challenge and we’re glad to back the team as it helps bring this technology closer to practical use.
If you're researching potential backers in this space:
- Explore our list of machine learning venture capital firms in the UK
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Founder perspective
Vishal Chatrath, co-founder and CEO at QuantrolOx, described the company’s aim in practical terms.
Vishal Chatrath, Co-founder & CEO, said:
Every industry is built on its tools and its people. QuantrolOx is building the foundations of the quantum industry: Our tools industrialise quantum hardware and train the people to run it. With IW Capital and the EIC Fund behind us, we are setting the standards and accelerating the path to practical quantum computing.
The bigger picture
QuantrolOx’s raise illustrates the role of European research spin-outs in the global quantum ecosystem: the company mixes UK academic roots with Finnish headquarters and international partnerships spanning North America and Asia. For the UK and Europe, investments like this support a deeper stack in quantum technology — not just hardware, but the software and services needed to operate it — and show how public funding and private capital are coming together to push quantum toward commercial viability.
They've invested in QuantrolOx
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| Investors | Investment Focus | Startup Investments | Round Size | Connect |
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 Transpose VC( ) | Machine Learning | |||
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