The path from a promising research result to a working prototype that can attract partners and funding is hard, and it’s where too many strong AI ideas stall. The AI-deas Sprint Programme exists to close that gap. Over six months, we’ll help you develop your most promising research into a working prototype that demonstrates real-world value, backed by technical support and a route to implementation partners.

Our first cohort — eight interdisciplinary teams — built prototypes addressing challenges from adenomyosis diagnosis and brain tumour surgery to crop disease forecasting and housing planning. Building on that, ai@cam is running a second 6-month accelerator to turn pioneering research ideas into minimum viable products that make a positive impact on society.

We’re looking for ambitious projects that can create working prototypes in these high-impact domains:

🧠  AI for mental health and brain research: Turn diagnostic algorithms into tools clinicians can actually use, or transform research insights into interventions that reach patients.

🌍  AI for climate and nature: Convert environmental monitoring research into decision-support systems that help organisations take climate action now.

👩‍⚕️  Women’s health: Transform research breakthroughs into accessible diagnostic tools or treatment platforms that address the gender health gap.

🏛️  AI for cultural heritage: Turn digitisation and analysis research into public-facing tools that make cultural collections more accessible and engaging.

📚  AI in education and assessment: Convert education research into practical tools that can be tested in real educational settings.

🗣️  Language equity and inclusion: Transform communication research into assistive technologies that support people with language barriers.

🏙️  AI for connected cities: Turn urban research insights into decision-support tools that local authorities can pilot and implement.

🔬  AI for science: Build tools that accelerate the scientific process itself, from autonomous discovery and reproducibility to making research evidence accessible and trustworthy.

✨  Wild card: Have a compelling problem that doesn’t fit neatly into the categories above? We welcome ambitious, problem-first projects in any domain where AI can deliver real societal value.

What a strong project looks like

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.

The best Sprint projects start from a concrete problem identified by the people closest to it, and a clear sense of who would use the result. We’re looking for teams who understand the problem they’re tackling, who have established connections or pathways to engage partners or end-user communities to act on a solution, and who have thought realistically about the data, workflows, and relationships it will take to get a prototype working in six months. Projects that arrive with those foundations in place are the ones that go on to attract partnerships and follow-on funding.

Each sprint team will follow a 6-month programme from November 2026 to April 2027:

Challenge definition and team formation (month 1): Interdisciplinary teams form around concrete deliverables and begin rapid development.

Mid-sprint check in (month 3): Teams to provide a project update in a networking event with potential partners.

Demonstration (month 6): Showcase event presenting prototypes to potential funders and implementation partners.