[ For Insurers · Reinsurers · Lenders ]

You Underwrite Risk You Cannot See.

You price 25+ years of module risk — hail, fire, degradation — with almost no module-level data. Claims run slowly because the parties often lack a shared module-level record of what changed, when it changed — and how much electrical performance was lost.

SunSniffer is the missing evidence layer: a continuous, timestamped module-level performance history before and after an event — supporting faster scoping, targeted inspection, evidence-based claim review, and ongoing risk pricing.

54.2%
of recorded PV loss costs: hail · IEA PVPS
25–30 yr
warranty terms you underwrite
Day 1
TrueSTC baseline on record
Claim evidence · hail event
Mar 12 · 14:32 CET · timestamped
▸ What the data seesWhat the eye sees — all identical
Modules flagged  0 / 60Mean deviation −18% · measurable, not visible
Module voltage · 24 h windowhealthypost-event change
14:32 · hail event
Deviation begins at the event timestamp — timestamped, decision-grade correlation.
Without data
Initial total-loss assumption · 100% of array
With evidence
Settle 11 modules · 18%
The insurance gap

From underwriting to claim — visibility is minimal at every step.

Conventional View
SunSniffer-Enabled View
Performance baseline
Conventional ViewNone on record
SunSniffer-Enabled ViewTrueSTC + 15-sec data from day 1
Hail damage assessment
Conventional ViewPeriodic visual or thermal inspection
SunSniffer-Enabled ViewModule-level before/after quantification
Claim settlement basis
Conventional ViewTotal-loss declarations
SunSniffer-Enabled ViewEvidence-based scope review
Degradation proof
Conventional ViewNameplate assumption
SunSniffer-Enabled ViewMeasured TrueSTC curve per module
Serial-defect detection
Conventional ViewAfter the loss event
SunSniffer-Enabled ViewFleet-wide, at batch level, early
Fire risk monitoring
Conventional ViewPeriodic inspections
SunSniffer-Enabled ViewContinuous DiodeVital data
Underwriting basis
Conventional ViewIndustry averages
SunSniffer-Enabled ViewPer-asset risk scoring
Claims evidence
Conventional ViewSlow, disputed adjustment
SunSniffer-Enabled ViewTimestamped, decision-grade evidence
Sources · 2025/26
  • IEA PVPS (2025) — hail: 1.4% of recorded incidents, 54.2% of recorded loss costs (2018–2023); the four largest events exceeded USD 224 m. Report T13-33:2025, p. 26
  • AXIS Capital (2026) — 1.3 m modules damaged by hail 2019–2025, $342 m gross claims.
  • Swiss Re (2026) — severe convective storms: $51 bn insured losses in 2025 alone.
  • kWh Analytics Solar Risk Assessment (2026).
Three claim types · one evidence layer

Every major loss type, covered by the same record.

SunSniffer creates a permanent, high-resolution performance record for every insured asset — before any claim event occurs.

Claims
Hail damage — evidence-based scope review
Hail can leave modules looking intact while their electrical performance changes. SunSniffer compares the module-level history before and after the event — which monitored modules changed, by how much, and whether the loss persists or grows. Targeted inspection is added when the physical cause must be confirmed. Instead of a total-loss declaration, the insurer receives a prioritized report of the modules showing a material post-event performance change.
Underwriting
Fire risk — continuous diode monitoring
DiodeVital monitors bypass diode switching behaviour continuously inside every junction box. A SunSniffer-monitored plant has a demonstrably lower fire risk profile — with the data to prove it.
Warranty
Warranty underperformance — objective review
25–30 year performance guarantees are priced against nameplate STC — and disputed against it. TrueSTC is measured from the agreed baseline and re-measured continuously: a claimed underperformance is screened per module from the existing record, in minutes — before any targeted site inspection required by the contract.
TrueSTC for warranty & reinsurance

You insure a 25-year promise nobody ever measures.

PV warranty and reinsurance products price long-tail degradation risk against the manufacturer's nameplate STC — a lab value from before shipping. TrueSTC creates a repeatable STC-equivalent comparison value and a continuous performance history for every monitored module, starting from the agreed baseline.

MODULE PERFORMANCE · % OF DAY-1 TRUESTC · 30 YEARSnameplate assumptionmeasured TrueSTC · fleetZone 1 batchwarranty threshold
100%90%82%010 yr20 yr30 yrwarranty threshold · 87%Zone 1 batch crosses threshold — year 15, not year 30
Every point is a measured clear-sky TrueSTC value — not an extrapolation.Recourse documented · batch, serials, timestamps
Pricing
Price the risk, not the average
Degradation risk becomes measurable per plant, per climate, per module batch — replacing flat statistical assumptions across a 25–30 year term.
Claims
Screen the claim in minutes
An underperformance claim is screened per module against the measured baseline and the continuous record — before any targeted site inspection required by the contract.
Portfolio
Catch serial defects early
Batch-level deviation is visible fleet-wide long before it accumulates into a reinsurance-scale event — and documented for recourse against the manufacturer.
Ray for insurers

Turn raw data into instant answers.

Ray is your claims analyst — a conversation connected to every module's performance history. It compares the history, event timing, configured thresholds and available contract rules, and prepares the claim review; the insurer or responsible expert decides.

01
You ask in plain language
No data requests, no waiting for loss adjusters’ site visits.
02
Ray reads the performance history
Every module, before and after the event — the full record.
03
You get a grounded answer
Quantified performance change, prioritized scope, prepared claim-review documents.
TRY A QUESTION
RAY · PLANT ANALYSTlive plant data
How much do the modules in this plant degrade per year?
R
Field-measured degradation against the TrueSTC baseline:
·Fleet average — within warranty curve−0.42% /yr
!38 modules · Zone 1 — degrading faster−0.9% /yr
·Measured over 4 years of module-level data
Field-validated — not a datasheet assumption.
Strategic value

Lower loss ratios. Better pricing. More capacity.

01
Claims severity reduction
Scope claims to the modules showing a material change. Major impact on the hail-driven majority of solar losses.
02
Underwriting differentiation
Supports differentiated underwriting — monitored plants come with demonstrably better data for pricing decisions.
03
Reinsurance advantages
Data-rich portfolios support reinsurance discussions — monitored, data-sharing plants can be assessed on evidence instead of averages.
04
Long-term performance risk
Field-validated degradation curves reduce uncertainty on long-term guarantees.
05
Future potential
Continuous module-level data opens the door to index-based settlement approaches as the industry matures.
Result

Lower loss ratios, more accurate pricing, reduced capital requirements, and the ability to underwrite more solar capacity with confidence.

From invisible to measurable

Turn invisible risk into measurable opportunity.

SunSniffer gives you the objective, module-level evidence you have never had before.

See Real Module-Level Evidence Book an Insurer & Reinsurer Briefing