Installer Quote Review & Validation

Verify assumptions, pricing, and financial projections before committing.

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Installer Quotes Are Hard to Compare and Harder to Trust

Installer proposals are built using different assumptions, pricing structures, and performance forecasts, making side-by-side comparison difficult.

Without independent validation, decision-makers are left to rely on vendor-provided models that may obscure true costs, risks, and long-term performance.

Different Assumptions Behind Every Quote

Installers use their own assumptions for pricing, performance, incentives, degradation, and timelines, making proposals look comparable when the underlying economics are not.

Headline Numbers Mask Risk and Exclusions

Quoted savings and payback periods often exclude key costs, contingencies, or downside scenarios that materially affect long-term outcomes.

Vendor Models Are Built to Sell, Not to Invest

Installer models are typically structured to highlight projected benefits, making it difficult to assess true economic value and risk without independent review.

Turn Vendor Quotes into Investment-Ready Comparisons

We independently review pricing, assumptions, and performance claims so you can compare proposals on true economic value, understand downside risk, and choose the option that best protects your investment.

What the Analysis Covers

An independent, like-for-like evaluation of installer proposals to clarify true cost, risk, and value before you sign.

  • Quoted System Costs: Review of EPC pricing, equipment assumptions, scope inclusions, exclusions, and hidden cost drivers.
  • Production & Performance Assumptions: Validation of generation estimates, degradation rates, availability, and performance guarantees.
  • Financial Assumptions: Assessment of financing terms, incentives, escalators, and cash flow assumptions embedded in the quote.
  • Returns & Payback Claims: Verification of IRR, payback period, savings projections, and downside exposure if assumptions miss.
  • Like-for-Like Comparison: Normalized comparison across multiple installer proposals to isolate real differences in value.
  • Risk Allocation: Identification of who bears performance, construction, interconnection, and long-term operating risk.
  • Red Flags & Optimism Bias: Detection of aggressive assumptions, unsupported claims, or structures designed to sell rather than protect capital.
  • Decision Summary: Clear recommendation on which quote holds up economically, and why.

Built for Decisions That Matter

We deliver clear, independent economic analysis that enables decision-makers to allocate capital with confidence across clean energy and sustainability investments.

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Decision-First Economics

Economic analysis focused on the questions decision-makers actually need answered.

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No Advocacy, Just Evidence

Independent evaluation of clean energy and sustainability investments using established economic methods.

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Built to Hold Up

Clear, defensible results designed for regulatory, legal, and public review.

How We Work

Our work follows a structured, decision-first process designed to support high-stakes clean energy and sustainability investments under real-world constraints.

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Decision Framing & Scoping

We start by clarifying the decision at hand, the constraints you face, and the level of regulatory, financial, or public scrutiny the analysis must withstand.

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Data Review & Assumption Validation

We review available data, internal models, and external benchmarks. Key assumptions are identified, tested, and documented before analysis begins.

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Data Analysis

We analyze the data using appropriate economic, statistical, or quantitative methods based on the decision context and available information. This may include descriptive analysis, modeling, scenario testing, or other methods as warranted by the question.

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Decision-Ready Outputs

Results are synthesized into clear, structured findings designed for boards, regulators, investors, or public review.

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Implementation Support (Optional)

When needed, we support proposal review, contract comparisons, and final decision checkpoints before capital is committed.

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When Our Work is a Fit

We work with policymakers, regulators, utilities, and investors making high-stakes clean energy and sustainability decisions where economic precision and accountability are required.

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You are evaluating or managing $5M+ clean energy investments.

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You need defensible economic analysis.

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You are comparing multiple project structures or proposals.

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Your decision will be reviewed by regulators, boards, or the public.

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Your internal financial models exceed 10–20 assumptions.

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Your project lifespan is 15–30 years.

Who We Work With

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Real Estate Investors

Institutional and private investors assessing how energy costs, regulation, and sustainability requirements affect asset value and long-term returns.

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Real Estate Owners & Developers

Organizations evaluating on-site solar, PPAs, or energy retrofits across commercial, industrial, or multi-family portfolios.

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Renewable Energy Developers

Developers comparing project structures, pricing assumptions, and long-term economics before committing capital.

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Policymakers & Regulators

State and local agencies evaluating clean energy, environmental, land use, or housing policies that require defensible cost–benefit and economic impact analysis.

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Utilities & Energy Authorities

Public and private utilities assessing solar, storage, grid investments, and compliance costs under regulatory and reliability constraints.

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Public & Institutional Asset Managers

Universities, municipalities, and public entities managing large property portfolios with long investment horizons and accountability requirements.

Planning a Major Clean Energy Investment?

Use a short consultation to determine whether cost–benefit analysis is the right next step.

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Ongoing Fractional Economist

Ongoing economic support for repeated clean energy investment decisions.

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Pre-Regulatory & Investment Scoping

Clarify economic requirements and decision criteria prior to formal analysis.

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Post-Installation Financial Analysis

Compare actual results to projections to evaluate investment performance.

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