QuantrolOx Raises €12 Million ($13.36 Million USD) Series A2 to Scale Automated Quantum Control Software and U.S. Operations
QuantrolOx has secured €12 million ($13.36 million USD) in Series A2 funding, bringing its total funding to approximately €28 million. …
Automated quantum control software developer QuantrolOx has raised €12 million (~$13.36 million USD) in a Series A2 funding round led by UK venture capital firm IW Capital alongside co-investment from the European Innovation Council (EIC) Fund. The financing round includes continued backing from Voima Ventures, Serendipity Capital, Hoxton Ventures, and Transpose Capital, bringing QuantrolOx's cumulative funding to approximately €28 million (~$31.2 million USD).
Spun out of the University of Oxford and headquartered in Finland, QuantrolOx will use the capital to scale commercial deployments of its core QPU automation software, Quantum EDGE™, expand its educational offerings, and grow its North American presence anchored at its newly opened office in Berkeley, California.
[ QuantrolOx Series A2 Financing Profile ] | ||
Transaction Parameter | Financing Details | Operational Function & Expansion Target |
• Funding Round | • €12M Series A2 (~$31.2M / ~€28M Total) | • Led by IW Capital and the EIC Fund, alongside existing venture syndicates. |
• Core Product Engine | • Quantum EDGE™ Automation Platform | • Machine-learning software that automates QPU calibration, characterization, and gate tuning across heterogeneous hardware architectures. |
• Workforce Infrastructure | • Quantum EDGE Academy™ | • Virtual hardware training platform pairing interactive simulated instruments with practical cleanroom calibration workflows. |
• U.S. Expansion Anchor | • Berkeley, CA Office | • Supports an active five-year collaboration agreement with UC Berkeley focused on automated superconducting quantum industrialization. |
Automating the QPU Calibration Bottleneck
As commercial quantum systems scale toward higher qubit counts, the initial bring-up, cross-talk characterization, and pulse-level gate tuning of physical processors represent a major operational drag on quantum hardware engineering teams. Traditionally, these workflows require teams of physicists executing serialized manual calibration routines inside dilution refrigerators.
QuantrolOx's Quantum EDGE addresses this by applying automated, machine-learning-driven closed loops to characterize and stabilize physical qubits. Designed to remain hardware-agnostic, the platform interfaces directly with microwave control stacks and testbeds across an ecosystem of industry and institutional partners, including Rigetti Computing, Bluefors, QuantWare, the UK National Quantum Computing Centre (NQCC), and UC Berkeley.
The capital injection follows significant international activity for the company, including the recent deployment of QuantrolOx’s VIDYAQAR open-architecture quantum system at Q-HUB@MAHE in Bengaluru, as well as joint research advancing open hardware standards under the UK-India Technology Security Initiative.
Review the official funding release on the QuantrolOx Portal here.
October 27, 2026
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