Specialty InsuranceFor Energy Infrastructure.
One connected Risk Intelligence system — closing the insurance gap to make energy infrastructure resilient and bankable.
For the owners, investors, and lenders who finance it.
Energy infrastructure is being repriced. The insurance under it has not kept up.
Exposure is modelled on regional averages rather than the asset. Contract risk goes unmodelled though it carries the revenue and the credit. And capacity is being rationed to the assets that can prove resilience — everyone else pays up or goes uncovered.
- Step 0Priced in upfrontAt evaluationresilience & insurance as terms
- Step 1Risk eventYear 0hazard · contract · market · policy
- Step 2Insurance repricesYear 1premium · exclusions · capacity
- Step 3Debt adjustsYear 2–3rate · covenants · sizing
- Step 4Valuation resetsYear 4–5+bid · hold · exit
Resilience and insurance are the load-bearing walls of modern infrastructure finance.
They are what debt, equity, and a bankable close stand on.
“Meta and BlackRock's $14bn data centre exposes lenders to insurance gap”
Investors in gigawatt-scale campuses face billions in underinsured risks as insurers balk at cost of full coverage.
The infrastructure we work across
- Power generation
- Renewables
- Storage
- Transmission & substations
- Data centers
- Pipelines
- Oil & gas
One Risk Intelligence system. Three steps.
InfraSure builds a forward-looking, localized, asset-specific model of each asset. It is part physical twin, part financial twin: site conditions, components, contracts, debt, revenue mechanics, the insurance program, and resilience options all recompute through the same scenario engine.
The exposure that surfaces a red flag when you see the risk sizes the hardening case when you reduce it, and prices the cover when you insure it. Change one input — add a battery, raise a deductible — and all three recompute against it. Scenario analysis is built in, not bolted on.
Triage a portfolio in minutes — scoring, hazard heatmaps, red flags — then resolve the asset that matters down to the position you defend.
Pair a named measure to the untreated baseline and re-run the consequence: loss, downtime, tail, limit need, and the return on the spend.
Read existing cover against the modeled loss, then transfer what should be transferred — performance and revenue assurance, outage cover — where supported.
See the risk
AssessScreen the portfolio for the exposures that deserve attention — climate value-at-risk, peak hazard, red flags — then resolve the asset that matters: hazard by hazard, contract by contract, down to the position you defend.
Resilience is an investment-evaluation input, not a post-close fix.
Site selection $Diligence $$Close $$$Construction $$$$
Insurability and resilience constraints surface cheapest at site selection — screening puts them there, before capital commits.
The screen finds the question; the asset view shows what the decision depends on. A fund-level screen stands on its own.
Reduce the risk
Resilience ROIPair a named measure — hail stow, winterization, vegetation management — to the untreated baseline and re-run the consequence: loss, downtime, the tail, the limit you need, and the return on the spend.
"Lower expected loss" and "protected against catastrophe" are different statements — a measure can remove most ordinary losses and still fail at its design threshold. We show both.
Resilience is measured, not asserted — and it changes what insurance should cost.
Insure the risk
Risk transferCover the operating exposures traditional policies leave behind — performance security, revenue shortfall, and power-outage interruption. Structure the trigger, terms, limit, and capacity around the promise.
Assessment identifies the exposure. Underwriting defines the supported promise — trigger, terms, limit, and capacity.
The advantages compound.
Each of these five advantages strengthens the others. The platform grows stronger with every asset added.
Data Foundation
A stable identity spine connects each facility and resource unit to physical systems and components, equipment ratings, locations, owners and parent entities, performance, and financial evidence. Manufacturer and supplier detail attaches only where the record supports it. Filings, contracts, and news are resolved to the same assets through proprietary research pipelines.
Engineering, Science & Finance
Engineering carries configuration, failure, protection, and recovery. Science carries the condition, distribution, tail, and uncertainty. Finance carries value, contracts, cash flow, and capital constraints; underwriting translates the supported risk into eligibility, terms, limits, and monitoring. One asset, one evidence base, one path from physical response to cash, cover, and covenants.
Market-Scale Coverage
Every utility-scale plant in the U.S. contributes to a consistent national reference surface — not only the assets a client already owns. Portfolio screening reveals outliers, concentrations, and missing evidence; decision deep dives move to the site, subsystem, component, contract, or dependency the question requires. The screen finds the question; depth is reserved for decisions that warrant it.
Validation Discipline
Katrina, Uri, Camp Fire, and the 2020 Derecho provide historical-event checks. Hazard calibration, tail checks against published catastrophe parameters, and generation hindcasts against EIA actuals challenge different links in the chain. Sources and practitioner-level methods stay attached to each result — including where uncertainty or evidence gaps limit its use.
Problem-First AI
Most of InfraSure's AI works behind the product, accelerating evidence research, document extraction, data curation and reconciliation, model development, and quality checks. In the foreground, grounded research assistants open the record, while experimental ContractAI turns complex agreements into typed, reviewable facts. The problem selects the model; engineering, science, finance, and expert controls determine what the result can support.
InfraSure's advantage comes from combining market-scale coverage, unified modeling, and continuous validation in a single framework.
Every U.S. utility-scale plant. Every queue project. Every market signal. Open.
The same asset registry that powers our modeling layer is yours to explore.
Price the risk before the market does.
We’ll walk you through your own portfolio in 30 minutes — the screening view, the asset-level diligence, the mitigation economics. One asset of yours, end to end.