A list of AI companies in Oxford

AI Companies in Oxford

At the heart of an ideas revolution in the UK, Oxford is home to some of the country’s most promising and exciting startups, particularly in AI of course, as well as healthtech and deep tech.

  Oxford is a tiny little slice of old English heaven which drips with history and culture. Oxford University of course is one of the world's most prestigious academic institutions in the world - as the city's historic core, its famous colleges remain as hallowed, stunning and recognisable to this day as they did hundreds and hundreds of years ago. Certain specific buildings stand out, Christ Church College without question; the Radcliffe Camera, and true architectural masterpieces by Sir Christopher Wren and Nicholas Hawksmoor...anyway.

  Let's take a look at the list of AI Companies in Oxford:


Self-driving AI, Oxford style

While everyone was hunkered down during the start of the pandemic, Oxbotica was busy raising finance for their autonomous vehicle startup. Oxbotica, the Oxford startup that builds what it calls “universal autonomy” — flexible technology that it says can power the navigation, perception, user interfaces, fleet management and other features needed to run self-driving vehicles in multiple environments, regardless of the hardware being used — has picked up $47 million in a Series B round of funding from an interesting mix of strategic and financial investors. Oxbotica enables vehicle autonomy by engineering the software that drives them, with total freedom from external infrastructure dependency. Their software brings autonomy to all vehicles, in all places at all times.


Automated QA for software and DevOps using AI

Diffblue Cover is a tool that automates the tedious process of writing unit tests for Java code. It uses AI to write suites of tests in minutes, saving developers hours or days of time. Software testing is the biggest bottleneck for most projects. These logjams lead to regressions and lost developer productivity, slowing development velocity and even - if it cuts into a timeline poorly - reducing product quality.

  Diffblue’s software is primed to being at the centre of DevOps for many organisations - and as such it has stood the test of time for most startups (5 years). The company raised a $22 million Series A round in 2017.


Making dodgy diagnostics a thing of the past with AI

Oxford Sciences Innovation (OSI) is (at least we think) more or less of god-level status when it comes to startup incubation in the UK for AI, health tech and deeptech. Ultromics’ meteoric rise from the hallowed research halls of Oxford University. Ultromics aims to improve accuracy of echocardiogram interpretation to read above 90% – substantially, and life-changingly better than the 80% achieved by human doctors. The company’s founders say this will save lives by identifying more people at risk of heart disease and – by reducing the number of patients unnecessarily sent to theatre – potentially save billions for health services around the world. The medical diagnostics company behind this development was spun out from Oxford University research around 18 months ago.

  The company is the result of a successful spin out from Oxford University.

Quantum Motion

Quantum Copmuting meets AI - IRL

OK, perhaps it’s a bit cheeky of us to include Quantum Motion in this list - they’re thus far really out there as one of the only global qubit startups in the world, and they’re already promising a scalable quantum computer.

  Quantum Motion say that they combine deep expertise in fault tolerant quantum architecture with hardware knowledge to realise qubits in silicon. Quantum technology is important to note of course: it will power high-impact applications in areas vital for human progress in the 21st century: in-software discovery of new chemicals, materials and drugs; the reduction of wastage through optimisation of resource usage; and enabling new models for AI and machine learning. It is predicted that by 2025 there will be more silicon transistors on planet earth than human cells. The goal is to fast-track the development of true fault tolerant quantum computers and reach one million qubits.

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