What It Does
The Project Finance module analyses infrastructure proposals, PPP submissions, and project documentation using an adversarial 8-stage pipeline built on Anthropic's Claude AI. It integrates live country risk data from IMF WEO, World Bank WGI, and Transparency International across 50 countries. The platform validates cost projections against reference class data (Bent Flyvbjerg methodology), checks offtake agreements and grant claims, verifies ESG representations against regulatory frameworks, and produces 6 IC-ready reports per deal in 35 minutes.
Who Uses It
Infrastructure funds, development finance institutions, project finance lenders, and PE firms with infrastructure allocations.
How It Works
Upload
PDF or PowerPoint. The system accepts pitch decks, information memoranda, project documents, and financial models in 100+ languages.
Extract
Document content is extracted in approximately 5 seconds — text, tables, charts, metadata, and embedded images via OCR.
Claim extraction
The system identifies every verifiable claim in the document — typically 40-65+ claims per deal. Revenue figures, market size, team credentials, partnership claims, regulatory assertions.
Country risk assessment
Live data from IMF WEO, World Bank WGI, and Transparency International for 50 countries. Composite risk scores across 5 pillars: economic, governance, corruption, external, and stability.
Feasibility analysis
Technical, financial, and regulatory feasibility assessment. DSCR, IRR, NPV calculations. Reference class forecasting to benchmark claims against comparable projects.
Cross-reference verification
Every claim is checked against 15+ data sources: SEC EDGAR, company registries, financial databases, web search, Wayback Machine. Premium integrations available: Bloomberg, Moody's, S&P Capital IQ, Refinitiv, PitchBook, Preqin, Orbis, CB Insights.
Background checks
All principals and key personnel verified against public records, corporate registries, sanctions lists, and prior company histories.
Report generation
6 IC-ready reports produced in 35 minutes: Decision Memo, Claim Verification Report, Feasibility Assessment, Stage Gate Report, Claim Integrity Delta, One-Page Deal Summary.
Key Capabilities
8-stage adversarial pipeline — Upload → Extract → Claims → Country Risk → Feasibility → Verify → Background → Report
Live country risk scoring — 50 countries, 5 pillars (economic, governance, corruption, external, stability)
100+ languages for document analysis (powered by Claude AI)
Reference class forecasting — benchmarking cost and schedule claims against comparable infrastructure projects
DSCR, IRR, NPV calculation and sensitivity analysis
Offtake agreement and grant funding verification against government sources
ESG and sustainability claim verification against EU Taxonomy and local regulatory frameworks
Carbon credit revenue validation against verified market data
Full project lifecycle — pre-financing screening, financing DD, post-capital deployment monitoring
Institutional knowledge base — pattern recognition across all infrastructure projects analysed
6 IC-ready reports per deal in 35 minutes
What Makes It Different
Infrastructure projects systematically misrepresent costs and demand — research across 258 projects ($90B) shows 28-45% average cost overruns and 20-60% demand inflation. DiligenceWorks is AI-native — not a spreadsheet model or a generic AI tool — and is purpose-built to catch these patterns. The platform has identified advance-fee fraud structures, fabricated carbon credit revenues, impossible government grant claims, and ESG greenwashing in real project finance evaluations. Live country risk data across 50 countries ensures geopolitical context is current, not stale.
Frequently Asked Questions
What types of projects can DiligenceWorks assess?
Infrastructure (transport, utilities, telecoms), real estate development, energy (renewable and conventional), and public-private partnerships.
Does it replace financial modelling?
No. It analyses and stress-tests existing financial models. The module identifies which assumptions have the greatest impact on project viability and tests them under adverse scenarios.
What country risk data is available?
Live data from IMF WEO, World Bank WGI, and Transparency International across 50 countries. Composite scoring across 5 pillars: economic, governance, corruption, external stability, and political stability. Data is pulled live for every deal — not cached or stale.
Can it catch advance-fee fraud in infrastructure proposals?
Yes. The platform recognises advance-fee fraud patterns — including SBLC-backed financing structures requiring upfront fees before fund disbursement — which are a well-documented scam targeting infrastructure investors.
What languages can project documentation be analysed in?
100+ languages via Claude AI. Infrastructure projects frequently involve documentation in local languages — government permits, offtake agreements, environmental assessments. The platform analyses all of these natively.
Does it validate ESG and sustainability claims?
Yes. The platform verifies ESG representations against regulatory frameworks including EU Taxonomy. It has identified projects marketed as 'zero CO2' that actually produce 350-450g CO2/kWh, and carbon credit revenue claims 3-5x above verified market yields.
See Project Finance Risk Assessment in Action
Book a discovery call to see how the Project Finance Risk Assessment module can strengthen your investment process.
Book a Discovery Call