About Intelliblock
The Intelligence System
Intelliblock is an AI-native intelligence infrastructure built to detect bankable infrastructure opportunities in the Nigerian market 12 to 18 months before the market moves. Most consultancies added AI as an afterthought. Intelliblock was built around it.
The structural argument
Nigeria's infrastructure finance process has a documented 12 to 18 month gap between government policy signal and market mobilisation. Under the ICRC PPP framework, the cycle from Project Identification to Transaction Advisory Appointment runs 12 to 18 months for standard-track projects — the point at which Big 4 firms and boutiques receive their mandate call.
Intelliblock's retrospective scoring cohort — seven completed Nigerian DFI transactions scored against the V3.6 Bankability Framework — confirms this pattern. High-scoring projects (Azura-Edo IPP, Lekki Deep Sea Port, Dangote Fertiliser Complex, NLNG Train 7) each reached financial close following the policy convergence window. Low-scoring projects (Mambilla Hydropower, 21/100) remain without financial close. Source: Intelliblock Score Archive, 2015–2026.
Intelliblock operates at Stage 2 to 3 — the policy convergence window. The market enters at Stage 5 to 6. That gap is structural. Big 4 economics require a confirmed mandate before substantive work begins. Intelliblock's AI-native infrastructure (~£70/month) means the detection and pre-scoring work costs almost nothing. The lead time is a cost model advantage.
Intelliblock operates without retainer, equity stake, or commission arrangement with any developer, contractor, or DFI. Scores and recommendations reflect the Bankability Framework assessment only.
Why AI-native matters
Three numbers that explain the structural cost advantage.
Cost of the AI detection and pre-scoring infrastructure. Comparable Big 4 pre-engagement resource cost: £8,000–15,000.
Market lead time advantage. The window between policy signal and advisory mandate appointment.
Current version of the Bankability Framework. Named, versioned, gate-cleared. Not an ad hoc assessment.
Founder credentials
Intelliblock is run by Ayodeji Idowu, a project finance professional with dual-jurisdiction experience across the UK and Nigerian infrastructure investment markets. Prior work includes DFI-adjacent advisory, infrastructure origination, and financial structuring in Sub-Saharan African markets. Based in Portsmouth, UK (GMT+0).
Nigeria visits scheduled months 2, 6, and 10 of each operational year — for developer and DFI relationship building. The contacts exist before the visit. The dual-jurisdiction base is a deliberate structural choice: UK regulatory literacy and DFI relationship access (London is the hub for IFC, Afreximbank, BII, and AfDB European operations) combined with direct Nigeria market intelligence sourced on the ground.
in Follow Intelliblock on LinkedInFramework validation engagements
Retrospective scoring applied to completed transactions. These are analytical benchmarks — not advisory mandates. They establish framework directional accuracy before commercial deployment.
Energy — IPP
Azura-Edo Independent Power Plant
91/100 — Tier 1Energy — LNG
NLNG Train 7 — Bonny Island
87/100 — Tier 1Transport — Port
Lekki Deep Sea Port
80/100 — Tier 1Scores are retrospective — applied as at signal date, before outcomes were known. Directional accuracy across seven-transaction cohort: 80%. Source: Intelliblock Score Archive 2015–2026.
What we are not
Four boundaries that define where Intelliblock operates and where it does not.
- Not a Big 4 substitute. We operate before their mandate process begins.
- Not a news aggregator. Every signal is scored before it reaches a client.
- Not a database subscription. Every signal is assessed and scored before it reaches you.
- Not a traditional boutique. The cost model is built for early-stage detection — before mandate fees apply.
All intelligence is AI-assisted analysis, reviewed and approved by the Managing Director before delivery.
See the methodology in action
The Framework page publishes the full category architecture, score thresholds, binary gates, and a worked example.