From lab insights to investable, governed ventures.
Transform lab assets (algorithms, datasets, prototypes) into market-ready ventures and equip leaders with executive tracks that embed AI governance and GTM discipline.
Boost Efficiency Using AI Technology
🔧 What’s inside
Pre-incubation: problem–solution fit, customer discovery, first pilots.
IP & Compliance: ownership, licensing, privacy/ethics-by-design.
Funding Access: non-dilutive (BPI, EU, UAE) + investor introductions.
Executive Tracks: governance blueprints, portfolio design, GTM systems.
🧭 Governance
Venture Committees: stage gates (discovery → validation → traction).
Risk & Impact: security, auditability, red-teaming, carbon & cost tracking.
Data Rooms: reproducible experiments, metrics, and governance logs.
📦 Deliverables & Metrics
Venture brief & IP map, product roadmap, pilot MoUs.
Funding pack: grant pipeline + investor deck.
KPIs: adoption/usage, reliability/quality, unit economics, sustainability footprint.
⏱️ Typical Timeline
Weeks 0–2: selection & scoping → Weeks 3–10: validation & pilots → Weeks 11–16: funding prep + first commercial milestones.