
Prima Mente
UK AI startup building biological foundation models for brain-disease research and drug discovery.
Last refreshed: 19 April 2026 · Appears in 2 active topics
How could Prima Mente use Isambard-AI to accelerate brain disease research?
Timeline for Prima Mente
Mentioned in: Brussels sovereignty summit opens without European AI builders
European Tech SovereigntyMentioned in: Japan takes a "beyond Europe" keynote slot in Brussels
European Tech SovereigntyMentioned in: Commission awards sovereign cloud slot to Google joint venture
European Tech SovereigntyNamed as Sovereign AI Unit investee for neuroscience foundation models
European Tech Sovereignty: Kendall names seven infrastructure bets for £500m Sovereign AI UnitReceived 500,000 GPU hours on Isambard-AI through UK Sovereign AI Fund
European Tech Sovereignty: UK names first Sovereign AI investeesBackground
Prima Mente was named among the first six investees of the UK Sovereign AI Fund on 16 April 2026, receiving 500,000 GPU hours on Isambard-AI alongside same-day Visa decisions, R&D Visa cover, and access to government procurement pipelines . The company builds biological foundation models — large AI models trained on biological data — specifically targeting brain-disease research and drug discovery.
Foundation models for biology are a rapidly developing area of AI. Unlike general-purpose language models, biological foundation models are pre-trained on genomics, proteomics, or neuroscience data and can be fine-tuned for specific therapeutic or diagnostic applications. Prima Mente's brain-disease focus positions it in a space where the UK has strong academic infrastructure through the Wellcome Trust, the MRC, and NHS data assets.
The DSIT selection frames Prima Mente as part of a portfolio covering both defence and life-Science applications, signalling that the UK Sovereign AI strategy is not limited to security infrastructure. Compute access via Isambard-AI is particularly material for biological foundation models, which require large-scale GPU training that most life-Science startups cannot afford via commercial cloud providers .