AI-deas Sprint Programme Call
- 10 October 2025
Cambridge researchers are developing AI innovations that could transform healthcare diagnosis, accelerate climate solutions, and revolutionise education. Too many potentially game-changing ideas never move beyond academic papers, when they could be benefitting people and society.
While Cambridge leads globally in AI research, the path from promising laboratory results to working prototypes that can attract partnerships and funding remains frustratingly difficult for most researchers. The AI-deas Sprint Programme is designed to narrow this gap between research and real-world application. In six months, we’ll help develop your most promising research into a working prototype that demonstrates real-world value, supported by technical advice and a path to implementation partners.
Building on the success of our AI-deas initiative, which has already connected 19 departments across all 6 schools in the University, ai@cam is launching a 6-month accelerator programme to transform promising research ideas into a minimum viable product. The AI-deas sprint programme is focused on supporting pioneering and innovative projects to develop breakthrough prototypes that will make a positive impact on society.
We’re looking for ambitious projects that can create working prototypes in these high-impact domains:
The AI-deas sprint programme will provide teams with up to £25,000 of funding to rapidly transform their innovative project ideas into a prototype in 6 months. Teams will be given access to technical support from machine learning engineers, in addition to follow-on opportunities to engage and develop external partnerships and validate their prototypes with end-user communities.
Each sprint team will follow a 6-month programme from November 2025 to April 2026:
If you have any questions about the call please email Annabelle Scott as599@cam.ac.uk
Apply hereThe AI-deas sprint programme aims to:
This call is open to research staff at the University of Cambridge, working in any discipline, including natural, physical, biological, social, medical, and computer sciences, arts, humanities, and engineering, and the University’s collections community. We’re looking for projects that build on our existing portfolio, and for applications to think about how they have engaged with our existing programmes or how they might enhance them.
Applications will be evaluated based on innovation, real-world impact potential, and achievable delivery within the allocated time frame. All project teams will be invited to deliver an in-person 10 min pitch presentation on their project idea in front of a panel of entrepreneurs, academics and industry experts on Wednesday 29 October 2025 from 13:00 - 17:00. Please register to confirm you can join the pitch presentation session in the application form.
If you or a member of your team aren’t able to be present at the pitch session in person on Wednesday 29 October, please get in touch with Annabelle Scott (as599@cam.ac.uk).
Up to £25,000 is available for a duration of 6 months. The funding can cover research related and staff costs.
AI-deas sprint projects will receive access to technical support from machine learning engineers and opportunities to engage and develop external partnerships.
Teams that have been selected for funding will be announced at the end of October.
Yes, please provide a brief summary in the application form of what you would like to use the funding for. Projects need to be completed within a 6-month time period.
We encourage you to create cross-disciplinary teams, they can be made up of researchers from different departments. We recommend that teams are made up of no more than 6 researchers.
AI-deas sprint projects need to fall under one of the seven current AI-deas challenge areas in:
Successful AI-deas sprints will be given opportunities to work with external stakeholders to further develop their prototypes, creating pathways to follow-on funding and demonstrable societal benefits.
Please fill in the application form here by 17:00, Friday 10 October 2025. You will need to be logged in to your @cam.ac.uk account to access the form.
For further questions please contact Annabelle Scott, ai@cam Programme Manager (as599@cam.ac.uk).