ClusterOS Diagnostic Profile
Greater Glasgow Advanced Manufacturing
Greater Glasgow Advanced Manufacturing draws £459m of UKRI lead-led funding across 1,090 grants, anchored by Strathclyde (38%), with Kelvin Nanotechnology and Weir Group on the industrial side. 10 Companies House-traced spin-outs translate to £46m UKRI per spin-out.
The cluster shows medium-confidence "Infrastructure–Activity Stabilisation" behaviour — infrastructure deployment cycles re-evidence capability rather than narrowing toward a defined specialism, sustaining activity volume without translating it into corporate throughput. Pipeline 1 evidence: repeated £50M+ multi-year capital commitments to NMIS, AFRC and Aerospace Growth Partnership infrastructure with Strathclyde (38%) anchoring academically and Kelvin Nanotechnology, Weir Group and Spirit AeroSystems carrying the industrial spine.
Tap diagram to enlarge
Same data examined through five diagnostic lenses — Pipeline, Leverage, Triple Helix, Throughput, Collaboration. The interactive diagnostic is currently in private preview.
Sources: UKRI Gateway to Research (grants, outcomes); OpenAlex (publications); Companies House (spin-out lifecycle); DSIT (cluster mapping); Public investment data. Snapshot May 2026.
Stabilisation stacks · Why single interventions fail
Value extraction events generate narrative about ecosystem success; narrative legitimises continued extraction by framing it as ecosystem contribution; uncertainty about whether extraction is harmful absorbed by the success narrative.
"If one ecosystem reporting body (e.g., Scottish Enterprise annual report) published separate metrics for value extraction (capital raised by companies, employment by companies, with destination geography) and value retention (local employment, local procurement, local IP licensing), it might make the difference visible and reduce uncertainty absorption through aggregated success narratives."
Leverage hypotheses are testable perturbations, not prescriptions. Where demand-side behaviour is weakly visible, the correct move is observation — improving visibility before attempting change.
Structural resemblances · Clusters with similar stall configurations
A full ClusterOS diagnostic adds actor questionnaire data, working sessions, and anchor interviews — producing higher-confidence stall identification, board-ready stack analysis, and leverage hypotheses calibrated to your specific context.