Coller AI Competition

The University of Manchester has launched a new responsible AI competition in partnership with the Jeremy Coller Foundation, offering a £100,000 equity investment to support one promising early-stage venture from its global community of students, staff and alumni.

This event will be the final of the competition, with finalists pitching their ventures live to compete for £100k investment.

The competition is designed to help innovators develop ventures with real-world potential – ensuring technology empowers rather than excludes. It will support solutions that use AI in ways that are fair, transparent, sustainable and focused on social benefit. The winner will benefit from the opportunity to work closely with the Jeremy Coller Foundation team to develop their venture.

The shortlisted Teams are:

Health Equity Chain

Health Equity Chain is building the Treatment Analyser System, an AI tool that helps doctors and patients make better prostate cancer treatment decisions. It shows a patient where they stand among people like them, making complex clinical information clear, understandable and equitable.

LanthaGen Bio Ltd

LanthaGen Bio has built an AI platform that simulates how biomolecules (proteins and peptides) bind metals, so new metal capturing proteins can be designed on a computer instead of found by trial and error. By drastically shortening the process it removes the energy, chemicals, plastic and solvent waste that repeated screening consumes.

SporeSense

SporeSense has built an AI-powered early-warning system that detects crop disease before any symptoms are visible. This lets farmers act early, cutting crop losses, reducing unnecessary pesticide use, and supporting more resilient, sustainable food production as climate change increases pressure on global agriculture.

SenseVale

SenseVale makes smart glasses that help blind and partially sighted people independently navigate their surroundings with minimal assistance. Sensors in the frame pick up what is around you, and the glasses tell you what they find through sound and vibration.

Forkprint Ltd

Forkprint is developing AI-enabled models that analyse any given food business’ data, such as recipes, menus and supplier information, to provide accurate greenhouse gas emissions GHGE information. This will enable food service businesses to assess and track the GHGE coming from their ingredients and food preparation processes, as well as rapidly develop lower-carbon recipes.

The initiative forms part of the University’s Challenge Accepted campaign, which champions ideas with the potential to tackle major global challenges.

Read more about the competition here - https://unit-m.co.uk/coller-ai-2026

If you require a BSL interpreter please register by 22nd September.

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