ClusterOS Diagnostic Profile
Greater Glasgow Net Zero
Greater Glasgow Net Zero draws £1.07bn of UKRI lead-led funding across 4,211 grants, anchored by Glasgow (29%), Strathclyde (20%), with Nitech Solutions on the industrial side. 23 Companies House-traced spin-outs translate to £47m UKRI per spin-out.
The cluster shows low-confidence "Coordinating instead of deciding" behaviour — multi-actor coordination defers strategic option-collapse, with formal coordination bodies and partnerships absorbing the load that would otherwise force a decisive pathway. Pipeline 1 evidence: planning frameworks and multiple 2024-2025 partnerships are present but Y-side strategic-commitment patterns are absent; the £1.07bn UKRI footprint is heavily Strathclyde-Glasgow led (49% combined) with NItech Solutions (12.8%) the largest industrial anchor.
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
Activity volume generates demand for more re-proving; re-proving keeps all programmes alive; forgiving keeps non-performers in the portfolio; all three pressure types absorbed.
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 UKRI funding stream (e.g., Innovate UK, 62% of grants per P015) pre-committed to a hard exit criterion (e.g., "programmes receiving <3 follow-on investments within 24 months will not receive renewal funding"), it might reduce the system's ability to absorb failure signals through programme continuation without making tolerance mechanism visible."
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.