Get Started

Every engagement
starts with a diagnostic.

The diagnostic identifies exactly what your ecosystem is doing, why it is doing it, and where the leverage points are. Not sure if you're ready? Run the free self-diagnostic first — five minutes, no commitment. Fees are discussed directly after an initial scoping conversation.

The diagnostic framework has been applied to 221 clusters across 57 countries. Browse the dataset →

The Free Self-Diagnostic is instant and costs nothing. The Diagnostic and Platform are commissioned engagements — scoped individually and priced after an initial conversation. What we can tell you is the structure: fixed scope, defined deliverables, and fees agreed before anything starts.
On data governance. The 221-cluster dataset was built from publicly available evidence — it does not contain steward-submitted data or self-assessments. Commissioned diagnostics are private to the commissioning organisation. No findings, data, or cluster profile from a commissioned engagement appear in the public dataset or on the map without explicit written consent.
Tier 1 · Free

Free
Self-Diagnostic.

An interactive diagnostic journey. Select the behavioural patterns you recognise — the system identifies reinforcing stacks, tests leverage hypotheses against your qualifier profile, and configures a Digital OS architecture for your ecosystem. Three stages, each producing a progressively richer report. No account. No commitment. No fee.

Free 10–15 minutes Hosted report No account required

It is self-reported and not independently evidenced — the system works from what you tell it, not from external research. But it gives you a structural read right now, and tells you whether a commissioned diagnostic is worth pursuing.

What the report includes
Stall profile — the substitutions your ecosystem is performing and what capabilities they are displacing
Stack detection — which combinations of stalls are reinforcing each other and why single interventions fail
Extraction score — an estimate of the proportion of value your ecosystem produces that stays local, benchmarked against 221 comparable cases
Blind spot analysis — stalls that frequently appear in ecosystems with your configuration but that you did not identify
Primary leverage hypothesis — one testable perturbation calibrated to your specific stack
Structural comparators — clusters from the dataset sharing your configuration
Diagnose your ecosystem →

Self-reported · Not independently evidenced · Always free

Your submission is private. It does not contribute to the dataset or appear on the map.

Commission a diagnostic
Tier 2 and Tier 3 are below.
Tier 2 · Commissioned
COMMISSIONED
The Diagnostic
4–6 weeks Public data + actor questionnaire + working sessions Fixed fee · Scoped on request
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What you provide
Cluster name, geography, sector — boundary definition and a short description to calibrate the pipeline
Questionnaire distribution — role-specific questions to founders, anchor organisationsLarge established actors — corporates, universities, hospitals, or public bodies — whose scale shapes the conditions other actors navigate. Some anchors also carry stewardship responsibility for the cluster., researchers, and stewards. We handle the instrument design, analysis, and aggregation
A working session (optional, recommended) — your team's institutional knowledge calibrates the diagnostic and prevents it surfacing findings you already have in a drawer
What you receive
50–70 verified evidence items from public records, sourced and confidence-tiered
Actor signal data — questionnaire responses processed against the stall framework, surfacing buy-side demand, sell-side capability, and cross-actor bridging signals invisible to public data
Stall identification — evidence of the behaviour itself (what actors are doing) combined with evidence of what is being displaced (what they are not doing), producing meaningfully higher confidence than public data alone
Stack analysis — the mutually reinforcing configuration your cluster has stabilised around, and why single interventions have been failing
Structural resemblances — 2–3 comparable ecosystems from the database with similar configurations, and what shifted them
Leverage hypotheses — testable perturbations calibrated to your stack and informed by comparable ecosystems
The ClusterOS Diagnostic Instrument
Role-segmented questions for founders, anchors, researchers, and stewards — each designed to surface the specific stall dynamics relevant to that actor type. Short enough to complete in under 10 minutes.
Questions are designed against the 9-stall framework from the start — not a generic survey retrofitted to the analysis. Responses are anonymous to the steward and aggregated as signals, not individual opinions.
The actor questionnaire is what takes the diagnostic beyond what public data alone can produce. Reported actor behaviour — processed against the stall framework — surfaces the demand signals, capability gaps, and bridging opportunities that public evidence cannot see. Confidence levels are stated explicitly throughout. The diagnostic is designed to stand alone — and to make the case for platform deployment when the findings warrant it.
Delivered as a structured report. Fixed scope. Standalone value. Natural path to the Platform if the findings warrant it.
Request a Diagnostic →

Not sure yet? Run the free self-diagnostic first →

Tier 3 · Platform

For organisations ready to make the diagnostic findings continuously actionable. The platform is the coordination infrastructure that runs on top of the diagnostic — a sovereign deployment of ClusterOS in your region.

TIER 03
ClusterOS Platform
Following or alongside the Diagnostic Continuous ecosystem intelligence Partnership · Quoted on request
The platform layer
Steward dashboard — real-time view of cluster health, conversion pipeline, pattern alerts, and intervention tracking
Actor journeys — AI-guided onboarding and pathways for founders, anchors, researchers, and talent. Role-aware, personalised, continuously updated
Evidence ingestor — your team uploads documents and data; AI extracts structured facts and updates the diagnostic continuously
Sovereign deployment — your data stays in your regional instance. No cross-region model training without explicit consent
What runs continuously
Weekly intelligence briefings — AI-generated, diagnostic-intelligence-based, not manually assembled
Live pattern detection — alerts when reinforcing loops are forming, when clusters are cycling, when anchor engagement is declining
Intervention recommendations — specific, evidence-based, with cascade predictions. Not generic advice
Board-ready reporting — automated reports built on throughput metrics, not activity counts. Generated from live diagnostic intelligence
Diagnostic refinement — stall confidence improves as actor behaviour generates more signal. The system gets smarter over time
What the Diagnostic needs from you

What we need from you

The diagnostic combines a public data pipeline with your institutional knowledge. The pipeline runs on public evidence alone if needed — producing 400–600 verified evidence items per cluster. But steward-held data is what moves stall confidence from LOW to MEDIUM or HIGH, and reveals the dynamics that public evidence cannot see. Haven't mapped your cluster yet? That's part of what the working session produces.

01
A working session with your steward team
What you see, what you don't, where the gaps are, and what the board is asking for. This calibrates the diagnostic before it runs — and prevents it from surfacing findings you already have in a drawer somewhere.
02
Programme documentation and internal data
Existing reports, strategy documents, membership data, event records. The evidence base you already hold. We combine it with public data to build a richer picture. Confidentiality is maintained throughout — steward-held data is not shared with actors or other ecosystems.
03
One or two anchor contacts
An introduction to one or two anchor organisationsLarge established actors — corporates, universities, hospitals, or public bodies — whose scale means their procurement, employment, and investment decisions set the conditions other actors navigate. In some ecosystems, the anchor also carries stewardship responsibility for the cluster. willing to share their perspective on ecosystem engagement. This is the hardest data to get from public sources, and the most valuable for Y-side observability.
04
Your cluster map
Your view of how the ecosystem is segmented, which clusters exist, who's in them, and where the boundaries are. The diagnostic derives cluster boundaries from evidence — but your institutional knowledge validates and sharpens them.
Common questions

Before you get in touch

Diagnose your ecosystem →