SeeReduceInsure

Specialty InsuranceFor Energy Infrastructure.

Decision-Grade Risk Intelligence.

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.

How it works ↓
The problem

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.

$380B
global natural-catastrophe economic losses, 2023
Source: Aon, 2024 Climate and Catastrophe Insight
69%
of it uninsured
Source: $118B of $380B insured — Aon, 2024 Climate and Catastrophe Insight
$5–10B
the ceiling on infrastructure policy limits
Source: against hyperscale campuses insured at $20–30B — S&P Global Ratings via Insurance Journal, 2026
How risk reprices through the capital stack
  1. Step 0
    Priced in upfront
    At evaluation
    resilience & insurance as terms
  2. Step 1
    Risk event
    Year 0
    hazard · contract · market · policy
  3. Step 2
    Insurance reprices
    Year 1
    premium · exclusions · capacity
  4. Step 3
    Debt adjusts
    Year 2–3
    rate · covenants · sizing
  5. Step 4
    Valuation resets
    Year 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.

Financial Times · August 2026

The infrastructure we work across

  • Power generation
  • Renewables
  • Storage
  • Transmission & substations
  • Data centers
  • Pipelines
  • Oil & gas
The solution

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 — engineering, science, and finance underlying one model: 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.

Scenario paths for weather, hazards, prices, revenue, coverage, and DSCR.
Site-level hazard, grid, nodal, corridor, and market context.
Components, subsystems, contracts, the insurance program, leverage, and resilience levers.
Weather
Hazard
Grid
Equipment
Policy
Contracts
Debt
Revenue
Insurance
Resilience
Risk Intelligence
physical state + financial structure + scenario engine
See the risk
Reduce the risk
Insure the risk
How the asset is configured, how it fails, how it recovers.
What reaches it, where, how often — and how the tail behaves.
What it means for cash, cover, covenants, and the close.
The same model supports screening, resilience, bankability, and cover decisions — bought separately or together.
See the risk
Screen + Deepen
1

Triage a portfolio in minutes — scoring, hazard heatmaps, red flags — then resolve the asset that matters down to the position you defend.

How it works
Reduce the risk
Measure + Prove
2

Pair a named measure to the untreated baseline and re-run the consequence: loss, downtime, tail, limit need, and the return on the spend.

How it works
Insure the risk
Transfer + Assure
3

Read existing cover against the modeled loss, then transfer what should be transferred — performance and revenue assurance, outage cover — where supported.

How it works
One Risk Intelligence system
1Step 1 of 3

See the risk

Assess
Decision-grade risk intelligence

Build the map of the project — every entity around the site and how they relate — then lay the modeling onto it. Screen a portfolio for the exposures that deserve attention, and resolve the asset that matters down to the position you defend.

1.1
Project map
The site and everything around it: owner, offtaker, lender, interconnection, and the contracts that tie them together.
1.2
Risk map
Modeling results laid onto that map — hazard, performance, and revenue exposure where it actually lands, as actionable insight rather than a score.
1.3
Screen & compare
Portfolio-wide exposure, red flags, and peer benchmarks in one view.
app.infrasure.ai
InfraSure Assess overview for the Sample Portfolio, showing 34 solar and wind assets with hazard loss, risked revenue, total Climate VaR, and the InfraRisk Index.
One portfolio view for 34 assets: 0.65% capacity-weighted hazard loss, $51K/MW-year P75 risked revenue, $355.5M total Climate VaR, and the assets that need a risk conversation.

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.

Project map: the site's entities, relationships, and contracts in one view — then the risk map laid onto it
Asset view: expected and tail loss by hazard at 100-, 200-, and 500-year return periods
Generation, revenue, and DSCR against covenants — assumptions adjustable, re-modeled live

The screen finds the question; the asset view shows what the decision depends on. A fund-level screen stands on its own.

2Step 2 of 3

Reduce the risk

Resilience ROI
Scenario analysis — play out the options

This is where you play out the options. Pair a named measure — hail stow, winterization, vegetation management — to the untreated baseline, combine measures, and re-run the consequence: loss, downtime, the tail, the limit you need, the return on the spend, and the residual each scenario leaves behind.

2.1
Baseline
The untreated asset, hazard by hazard.
2.2
Scenario testing
Combine measures, thresholds, and operating states; re-run through the same models and see what each one actually moves.
2.3
Compare & rank
Loss, downtime, tail, limit need, and ROI side by side — and the residual risk each scenario leaves.
app.infrasure.ai
InfraSure Resilience Opportunities overview for the same Sample Portfolio, showing current and potential hazard loss and Climate VaR reductions.
The same 34-asset portfolio, now read for resilience: modeled measures reduce potential hazard loss by 49% and Climate VaR by $164.5M, or 46%.

"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.

Scenario testing: combine measures and operating states, re-run, and rank what each one moves
Damage, downtime, recovery, and the tail — before and after the measure
Cost against avoided loss, the change in the cover you need, and the residual left over

Resilience is measured, not asserted — and it changes what insurance should cost.

3Step 3 of 3

Insure the risk

Risk transfer
The residual — carried or transferred

Whatever resilience does not remove is residual risk, and it still has to be carried or transferred. Cover the operating exposures traditional policies leave behind — performance security, revenue shortfall, and power-outage interruption — and structure the trigger, terms, limit, and capacity around the promise.

3.1
Define
Identify the measurable performance, revenue, or outage exposure.
3.2
Structure
Set the trigger, terms, limit, and capacity.
3.3
Assure
Write the supported performance, revenue, or outage promise.
poweroutage.modeling.infrasure.ai
Power Outage Insurance quote for a Boston business showing a $331 indicative annual premium, a $10,000 payout triggered by a 12-hour outage, and the insured-address map.
Power Outage Insurance shown as the current product example: $331 indicative annual premium for a $10,000 payout when grid power is out for 12 hours — one supported specialty cover within the wider risk-transfer layer.
Performance security and revenue-shortfall assurance — where supported
Power-outage interruption cover built around a measurable duration trigger
Terms, limits, and capacity connected to the asset's operating obligations

Assessment identifies the exposure. Underwriting defines the supported promise — trigger, terms, limit, and capacity.

Not a policy. A risk partnership.

Price the risk before the market does.

We’re not a traditional insurer looking to place a policy. We’re the risk partner underneath the decision — assessing the risk, reducing what can be reduced, and covering what remains. Bring one asset and we’ll take it end to end in 30 minutes.

info@infrasure.ai