ClusterOS Diagnostic Profile
Greater Glasgow Fintech
Greater Glasgow Fintech runs on 168 evidence items (Greater Glasgow Fintech UKRI grants: 100 grants, £119m total, 17 distinct lea). The diagnostic resolves a Extraction-Intermediary configuration at HIGH confidence.
Incumbents extract value via intermediary relationships; intermediaries protect incumbent access; incumbent stability suppresses the disruption that would reduce extraction.
"If Scottish National Investment Bank were to publish capital return destination data (Scotland-domiciled vs. external) for exits in which it co-invested (e.g., Aveni Series A → exit), it might reduce the system's ability to absorb exit value extraction without visibility into reinvestment...
Leverage hypotheses are testable perturbations, not prescriptions. Where demand-side behaviour is weakly visible, the correct move is observation — improving visibility before attempting change.
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.