If you're underwriting energy infrastructure debt or insurance — sizing a loan, pricing a policy, structuring a parametric cover, monitoring a portfolio under stress — InfraSure is the analytical layer underneath the decision. Three views, one set of math: the same hazard scenario that drives a tail-risk estimate drives a DSCR breach in the bankability forecast and a parametric trigger in the risk-transfer structure.
The structural break this fixes
Most underwriting today stitches generation forecasts from one vendor, hazard models from a second, price forecasts from a third, into an Excel model. Each vendor calibrated their model on a different universe of assets, under different assumptions. The stitched answer is quietly inconsistent — and the underwriting is built on a foundation whose joints don't hold.
InfraSure produces the answer to the insurer's question ("what's my tail risk on this asset?"), the lender's question ("what's my DSCR coverage under stress?"), and the equity question ("what's my IRR distribution?") from the SAME underlying physical and financial reality. Three views, one set of math.
What the workflow looks like
Two of the three InfraSure platform workflows map directly to underwriting:
Evaluate
Screen a pipeline of prospective deals. InfraRisk score, hazard loss-ratio heatmap, adjusted revenue per kW vs. benchmark, red-flag count. Find the assets that deserve your time before they deserve the spreadsheet.
Manage
Asset-level hazard composition, probabilistic generation + revenue forecast, bankability schedule (CFADS, DSCR, LTV year-by-year), insurance gap by hazard and coverage layer, scenario configuration.
What you can do today on the open data
Before requesting a demo, three things you can verify on the open data foundation right now:
- Asset identity. Look up any prospective asset by name or EIA ID on /explore. Confirm the operator, the parent company, the queue status, the grid-region attribution. The asset spine is the foundation underneath everything else.
- Historic context. Plant pages surface monthly generation, capacity factor history, reported financial signal (PPA, LCOE, market value where available), classified news on the asset.
- Coverage proof. See if the asset (or its peers) carries the data dimensions you need before you commit to using InfraSure for your underwriting workflow.
Concrete next step
When you're ready, the demo walkthrough takes 30 minutes and runs on YOUR portfolio. One asset of yours, end to end — the screening view, the underwriting depth, the mitigation economics. Not a synthetic demo; one of your assets.
See also
- The InfraSure analytical layer — overview of all three workflows.
- Workflow: Mitigate — parametric structures and risk transfer for insurers.
- For asset managers + equity — what the same analytical layer looks like from the equity side.
