The AI Accelerator is delivered by The University of Edinburgh’s world-leading innovation hub for Data Science and Artificial Intelligence, the Bayes Centre, as part of the Bayes Centre DDE Innovation and Edinburgh Innovations, the University of Edinburgh’s commercialisation service.
It gives data-driven scaleups the opportunity to harness the power of AI and bring about transformative change. From AgriTech to FinTech, AI technology can bring efficiencies, create new propositions and disrupt markets. It can help save lives and the planet.The Accelerator is delivered in partnership with Edinburgh strategic design consultancy NileHQ and supported by Huawei UK.
Thematic Areas
The next AI Accelerator program will be focused around 3 key themes:
- AI for climate change
- AI for global health
- AI for good
About University of Edinburgh
From Nobel laureates and Olympic champions to space explorers and prime ministers, the University of Edinburgh has been influencing history since it opened the gates to its first students in 1583.
Following the Scottish Enlightenment of the 18th century, the University was positioned at the forefront of academia and critical thinking.
Due to the determination and perseverance of a group of Edinburgh intellectuals, established facts about the world were being boldly and consistently challenged.
Amid this group was David Hume, philosopher, economist and essayist known for his philosophi... continue reading
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University of Edinburgh AI Accelerator Programme
Aim and Benefits of University of Edinburgh AI Accelerator Programme
The successful companies will benefit from a tailored program for AI scaleups including:
- Workshops and dedicated mentors to support you in developing a wide range of business skills from sales and marketing to financial planning.
- Opportunities to connect with the University of Edinburgh’s world leading academic expertise and student talent.
- A stipend of between £5k and £10k per company with the chance to win additional funding (exact amount TBC).
- Connections to investors as well as local and global networks.
- Support from a dedicated program team, partners and supporters and your peers.
- The opportunity to be a part of the Bayes Centre, the University of Edinburgh’s innovation hub for data science and AI – including access to the centre’s incredible facilities, office space for six months and its inspirational and collaborative data driven community.
- Links with Edinburgh’s Data-Driven Innovation hubs, including the National Robotarium, the Usher Institute for population data science, Edinburgh Futures Institute, Easter Bush and Edinburgh International Data Facility.
Requirements for University of Edinburgh AI Accelerator Programme Qualification
- AI-focused entrepreneurs and businesses scaling up from across the UK and the world can apply to take part.
- You do not need to be linked to the University of Edinburgh or based in the UK, but you will of course have an interest in engaging with the AI and data ecosystem in Scotland.
- They are looking for scaleups, so you will need to be an incorporated company, ideally post-revenue having already attracted some funding and with fully dedicated founders. However there are no hard limits here; bootstrappers and pre-revenue companies are also welcome to apply, and may be selected if they can demonstrate growth potential.
Interview date, Process and Venue for University of Edinburgh AI Accelerator Programme
- Applications need to be submitted by 26th May 2022.
- The selection process will take place during June with successful candidates informed around the end of June.
- The programme will start in mid September 2022 and run until the end of March 2023.
Application Deadline
May 26, 2022
How to Apply
Interested and qualified? Go to
University of Edinburgh on w2.irm.ed.ac.uk to apply
The AI Accelerator is hosted both online and through face-to-face sessions. It is delivered by the University of Edinburgh’s Data Science and AI innovation and enterprise hub – Bayes Centre – on behalf of all the Data-Driven Innovation hubs.
For more details,visit University of Edinburgh website
