🗺 Action Map — Institutional Governance Layer

Which institutional structure carries each action? Lead DG · Supporting DGs · TF contacts · Multi-DG complexity

👥 Task Force Members — Delivery Layer

Which Commission officials carry implementation? 70 members · 26 DGs · 6 Working Groups — sorted by governance load

🧑‍💼 Forum Members — Ecosystem & Advisory Layer

External actors shaping strategy legitimacy and providing ecosystem input — 52 members across sectors and countries

🏛 Key Stakeholders — Institutional Ecosystem

Financing bodies, agencies, associations and networks with structural relevance to implementation

📊 DG Ownership — Operational Governance Map

Which DGs actually carry the strategy? Lead ownership, co-ownership overlap, and clarity of mandate

🌐 Institutional Influence — Implementation Significance

Institutions ranked by action linkage, cross-pillar reach, and structural centrality in the strategy

⚠️ Workload & Concentration Risks

Where is implementation burden dangerously concentrated? DG overload · individual bottlenecks · multi-DG complexity hotspots

🔴 Missing Ownership & Coverage Gaps

Where is the strategy institutionally under-owned? Actions without anchoring · orphaned areas · governance blind spots

Strategic Context

Structural forces shaping EU Startup & Scaleup Strategy success · EU27 data · Eurostat · Cedefop · JRC · EIB · CMU Indicators 2025

📅

🧠 EU27 Unicorn Patterns & Comparative Positioning

Based on analysis of 128 EU27 unicorns — sector concentration, structural positioning, and investor signals

💡 Key Insight

EU27's strength lies in building companies in complex, regulated, and high-trust environments rather than purely consumer-driven scaling. This structural advantage aligns directly with the EU Startup Strategy's emphasis on innovation-friendly regulation and deep tech.

Insight Relevance: EU27 unicorns show strong concentration in regulated sectors such as fintech and enterprise software. The average time-to-unicorn is — years, with fastest movers in AI (<2 years) and deepest roots in industrial/cleantech sectors (10+ years).

💰 EU27 Unicorn Investor Patterns & Comparative Positioning

Based on analysis of 104 EU27 investors — portfolio unicorns, avg time-to-unicorn from first investment

⏱ Avg Years from First Investment → Unicorn Status

* Based on first known investment date to unicorn milestone. Early-stage VCs (seed/Series A) show shorter times due to earlier entry.

💡 Key Investor Insight

EU27 early-stage investors who enter at seed or Series A average 5–6 years to unicorn — faster than the overall EU27 company average (~7 yrs). Growth-stage investors like Eurazeo take longer (7+ yrs) but back proven assets with lower risk. The fastest paths (3–4 yrs) come from AI-native companies (Mistral AI, Helsing) reflecting 2023–24 market conditions.

MY PROGRESS — Personal Tracking

Your personal completion rate across all policy actions (not shared)

🤖

AI LIVE

Strategy Intelligence Engine — queries across: Strategy Map · Political Priorities · Policy Networking · Stakeholder Perspectives · Global Benchmark · Strategic Context · EU Ecosystem · Decision Intelligence · Timeline
Every response: ■ Direct Answer ■ Key Insights ■ Strategic Implication ■ Evidence & Signals

Query mode: ⚡ General 🔬 Evidence 🎯 Decision 🌍 Benchmark 🔭 Simulation

⚡ General mode: Ask any strategy question — the engine classifies and routes automatically.

↑

Enter to send · Shift+Enter for new line · Mode affects framing of response

🎯

↻ Refresh

📡

GD: NOT CONNECTED