The three bottlenecks

It currently takes six years on average for a medical device to reach MHRA, UKCA, CE, or FDA clearance. Quality-by-Design is rarely embedded from inception. It is bolted on late, when retrofitting compliance is most expensive.

The Agentic Innovation Platform embeds GxP rigour, traceability, and audit-ready evidence from the first commit. Adaptive algorithm submissions need infrastructure that did not exist five years ago. We have built it.

AI is driving a cognitive shrinkage of the workforce. Organisations push their people to use AI without much guidance, under the banner of productivity. But productivity with AI is not a simple matter of tool usage. The research literature is now clear on this. We must navigate the specific cognitive abilities of each person, and evolve every individual in a precision approach, driving the right synergistic relationship with AI where AI complements rather than competes with cognitive strengths.

PACE is what we built for this. Practice-based, not curriculum-first. Adaptive, not prescriptive. Open-published metrics, not vendor-tracked engagement.

Most of the senior expertise needed for regulated-science translation is currently locked inside large organisations. Regulatory affairs leadership. Clinical operations. Bioprocess scale-up. Commercialisation. AI safety. As UK biopharma has consolidated, tens of thousands of experienced regulated-domain professionals have been displaced. The skill is in the market. The match isn’t.

Our model embeds matched senior expertise inside ventures as working team members, not advisors. The relationship is built to evolve into a long-term commitment.

The UK Life Sciences Sector Plan, Skills England’s AI Skills for the UK Workforce report, and BIA’s Vision 2035 all point to the same gap: the country has world-class science and displaced senior talent, but no scaled mechanism to combine them at the speed AI now permits.

We are not building a new institution. We are building the connective tissue between three things the UK already has — frontier science, displaced regulated-domain expertise, and the academic AI leadership of Oxford and Cambridge — and the operating system of agentic AI that lets them compound.