Financial Model
A deterministic financial model where every formula — IRR, NPV, DSCR, depreciation, debt service — is validated mathematics, not AI-generated calculation. The AI scopes your assumptions and revenue projections; the financial engine computes everything else with zero tolerance for error.
Includes Monte Carlo simulation with 2,000 iterations across revenue, OPEX, CAPEX, and interest rate variables. Sensitivity analysis across your key parameters.
11 Sheets
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1. Assumptions
Project parameters, financing terms, tariff structure, escalation rates
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2. Revenue Schedule
Year-by-year revenue with CUF, generation, tariff, and escalation
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3. CAPEX Schedule
Phased construction spend, mid-life replacements, expansion capital
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4. Depreciation
Per-tranche depreciation, supports phased construction and mid-life CAPEX
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5. Debt Schedule
Principal repayment, interest, outstanding balance, DSCR per year
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6. Operating Expenses
O&M, insurance, land lease, transmission, with escalation factors
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7. Income Statement
Revenue through net income, EBITDA margin, tax computation
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8. Cash Flow
FCFF and FCFE streams, unlevered and levered free cash flow
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9. IRR & Returns
Project IRR, equity IRR, NPV, payback period, sensitivity matrix
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10. Executive Summary
Key metrics at a glance — CAPEX, IRR, equity IRR, NPV, avg DSCR, EBITDA margin
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11. Monte Carlo Simulation
2,000 iterations — IRR distribution, confidence intervals, worst-case scenario
18-Slide Investment Presentation
Opening
Project overview, strategic context, market opportunity
Analysis
Technical parameters, regulatory framework, competitive positioning
Financials
Revenue projection, cost structure, returns analysis, sensitivity
Conclusion
Risk assessment, recommendation, next steps
Board-ready formatting. Data-driven visualizations. Ready for investor meetings, credit committees, or internal strategy reviews.
Cited Research & Market Intelligence
Real-time market data, policy analysis, and competitive intelligence — every claim backed by a verifiable source. We search live data at the time of your query, so the analysis reflects conditions as they are, not as they were.
Sources are cited inline. You can verify every data point.
Independent Quality Critique
Before any deliverable reaches you, it passes through an independent review process. Financial assumptions are challenged. Research claims are cross-checked. Quantitative outputs are stress-tested for internal consistency.
Outputs that fall below our quality threshold are revised and re-reviewed. You receive the final version, not the first draft.
The quality critique itself is included in your deliverable set — full transparency on what was challenged and how it was resolved.
Decision-Ready Brief
A concise synthesis for stakeholders who need the conclusion without reading the full analysis. Key metrics, core finding, risk factors, and recommendation — structured for immediate action.
Formatted for direct sharing on professional networks or internal distribution.
Simulations, Optimization & Dashboards
When your analysis requires it: dispatch optimization, capacity planning models, power flow simulations, or interactive dashboards. Custom Python code is generated, executed in a sandboxed environment, and the results are integrated into your deliverable set.
Supports: linear programming (CPLEX), Monte Carlo simulation, scenario analysis, time-series modeling.
Deterministic Financial Engine
Core financial formulas are hardcoded and validated — not generated by AI on the fly. The AI scopes assumptions; the engine computes results. This is why your IRR is always correct.
Live Intelligence
Research is conducted in real-time at the moment of your query. Market data, regulatory updates, and auction results reflect current conditions, not training data.
Integrated Quality Gate
Every output is independently reviewed against domain-specific criteria before delivery. This is not a spell-check — it is a structured adversarial review of methodology, assumptions, and arithmetic.