Overview: the analytical layer

The InfraSure platform is the analytical layer underneath the capital stack that finances energy infrastructure. It produces decision-grade risk and performance intelligence — forward-looking, hyperlocal, asset-specific, and coherent across the decision contexts that determine whether energy infrastructure gets financed.

Three views. One set of math.

What "decision-grade" means

Four discipline marks underpin every output the platform produces:

• Forward-looking, not backward-looking. The dominant risk and performance products in market today are calibrated against historical data with light forward adjustment. That made sense when weather and hazard baselines were stable. It does not make sense now. Reference distributions are shifting, tails are fattening, and a 1-in-50-year event under 1990 conditions is no longer a 1-in-50-year event.
• Hyperlocal, not regional. A solar farm in West Texas and a solar farm forty miles away can have materially different hail exposure, generation profiles, and basis dynamics. Regional scores collapse those differences into a single number and lose the information that matters most for underwriting.
• Asset-specific. A storm doesn't affect a wind farm and a solar farm and a substation in the same way. A generation forecast for a single-axis tracker is not a generation forecast for a fixed-tilt array. Damage functions, business interruption profiles, recovery timelines, revenue mechanics, and contractual liabilities all vary.
• Coherent across decision contexts. This is the requirement no point tool in the market satisfies today. The insurer's question, the lender's question, and the equity question all draw from the SAME underlying physical and financial reality. They should draw from the same analytical foundation. Today they don't. InfraSure does.

Three workflows, one analytical spine

InfraSure is organized around how the customer actually moves through a decision — not around how the underlying models happen to be structured. Three workflows cover the full arc from "should I look at this asset at all" to "what am I going to do about it."

   EVALUATE              MANAGE                MITIGATE
   ────────              ──────                ────────
   "Should I             "What is the          "What do I
    engage?"              real story?"          do about it?"

   Screening             Asset-level           Risk transfer
   Comparison            deep dive             Resilience ROI
   Red flags             Bankability           Coverage optimization
   Benchmarks            Insurance gaps        Parametric structures

   Top-of-funnel    →    Diligence        →    Action
   diligence             & underwriting

Each workflow is supported by the same underlying analytical foundation — the asset registry, the weather and climate simulation engine, the hazard and damage models, the financial performance models, and the data integrations that feed them. The user does not see the model layer directly. The user sees the workflow.

The continuity of the answer

What this organization does, that point tools cannot, is preserve the continuity of the answer as the user moves through the decision. The hazard exposure that surfaces a red flag in Evaluate is the SAME hazard exposure that drives the DSCR stress in Manage and the parametric trigger in Mitigate. Nothing gets re-keyed. Nothing gets re-modeled with different assumptions. The answer that emerges at the end of the workflow is consistent with the answer the user saw at the beginning.

This is the technical realization of three views, one set of math. The next three pages describe each workflow in detail.

The two layers

The InfraSure platform sits on top of the open data foundation described elsewhere in these docs. The open data side (Explore, plant pages, queue projects, news) gives you the asset spine — every U.S. utility-scale generator and active queue project, structured into a single canonical identity. The platform's analytical layer conditions on that asset spine to produce forward-looking, decision-grade outputs.

Free vs. paid is architectural, not commercial. The free side is the foundation; the platform is the analytical layer above. Both are designed to be useful independently — and substantially more useful together. See Free vs. paid: the architecture for the explicit mapping.

See also

• Workflow: Evaluate
• Workflow: Manage
• Workflow: Mitigate
• Methodology + validation — the validation discipline that makes the analytical layer defensible.
• Why InfraSure — the 7 structural advantages that compound.