Oxford Quantum Circuits vs a2z Radiology AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
UK-based quantum computing company providing cloud access to superconducting processors using proprietary Coaxmon 3D qubit architecture; first commercial quantum computer provider in UK;
About
Oxford Quantum Circuits (OQC) is an Oxford-based quantum computing company that develops superconducting quantum processors using a proprietary qubit architecture called Coaxmon, which stores quantum information in a 3D structure rather than a flat 2D chip, enabling better qubit isolation and higher fidelity. OQC provides cloud access to its quantum processors through its Toshiba-backed cloud service and through AWS Braket, making it accessible to enterprise and research customers globally without on-premises quantum hardware. The company was the first commercial quantum computer provider in the UK and has established a European quantum computing cloud to serve enterprise and government customers requiring data residency within the EU. OQC focuses on hardware improvements that demonstrate a clear path to fault-tolerant quantum computing rather than maximizing near-term qubit count. Founded in 2017 as a spinout from Oxford University, OQC has raised over $100M from investors including Toshiba and SoftBank, and positions itself as the European alternative to IBM and Google in the quantum computing cloud market.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
About
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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