Insurance & Risk Assessors

US homeowners insurance has lost money on underwriting six of the past seven years. Major carriers have withdrawn from California, Florida, and Louisiana. NFIP Risk Rating 2.0 changed the entire flood-pricing model in April 2023. Catastrophe-model methodology is now politically scrutinized. The methodology that defends a rate filing, a claims investigation, or a treaty placement has to survive regulator review, courtroom challenge, and the climate that no longer matches the historical record. MAGNET4WATER is the physics-based water-modeling infrastructure built for that defensibility — on FEMA-approved and USGS-validated engines.

The 2026 insurance pressure pattern
Carrier withdrawal

State Farm and Allstate paused new homeowners policies in California in 2023–2024. Multiple carriers have reduced Florida exposure since Hurricane Ian. The Louisiana market remains in chronic crisis. The carriers still writing in stressed markets need defensible methodology to justify staying.

NFIP Risk Rating 2.0

FEMA's Risk Rating 2.0, effective April 2023, replaced flood-zone-based pricing with individual-property risk assessment using catastrophe modeling. Triggered rate shock, Congressional debate, and litigation. Property-level flood modeling is now the operational unit of analysis — not the FIRM panel.

Climate-driven losses

Hurricane Ian (2022): approximately $50–65B insured. Helene (2024): $30–50B insured. LA fires (January 2025): $30–50B+ insured. Insured-loss frequency and severity are now diverging from historical models, and historical models drive the capital reserves carriers hold.

Cat-model scrutiny

California DOI's 2024 landmark ruling first permitted catastrophe models in pricing. Florida OIR is pushing for transparency on the underlying methodology. The NAIC climate-disclosure rule is pending. Catastrophe modeling has moved from proprietary art to publicly scrutinized methodology — with the regulators reading the model documentation.

Parametric expansion

Parametric insurance — payouts triggered by measured water depth, rainfall, or soil moisture rather than damage claims — is a growing product category. Floodbase, Descartes, FloodFlash, and others are placing parametric flood products. The trigger has to be measurable, defensible, and not subject to dispute.

AI underwriting regulation

Colorado SB21-169, NAIC AI Bulletin (December 2023), and active rulemaking in multiple states are constraining how AI can be used in underwriting and pricing. Methodology has to satisfy regulators that it does not unfair-discriminate — with documented audit trails for every component.

These pressures arrive simultaneously on the same actuarial, underwriting, claims, and corporate-strategy teams. The methodology infrastructure supporting the response cannot be a stack of proprietary tools whose internals are nobody's to verify.

What Sets MAGNET Apart

Four architectural decisions specific to defensible physics-based water modeling in an insurance context.

🏠

Property-level inundation — on FEMA-approved physics.

StormNET runs EPA SWMM, FEMA-approved for the National Flood Insurance Program. Sub-meter LiDAR terrain. Full 1D unsteady Saint-Venant hydraulics. CMIP6 downscaled climate scenarios force the storm hydrology. Property-level flood inundation on the engine FEMA itself uses — defensible at rate filings, at claims disputes, at reinsurance treaty negotiations, and in front of regulators reading the model documentation.

🔍

Forensic claims defensibility.

When a water-damage claim arrives, the questions are forensic: did the water actually reach this address, on this date, at this depth, from this source? StormNET reconstructs the event hydraulics; IGW-NET handles source-water and groundwater pathways; the full chain of evidence is reproducible from public data. The same physics-based methodology that survives FEMA review supports claims investigation — including against the AOB (assignment-of-benefits) abuse and fraud patterns that have plagued Florida and other markets.

📏

Parametric triggers — measurable and defensible.

Parametric products pay on a measured trigger, not a damage claim. The trigger has to be measurable, defensible against dispute, and grounded in physical evidence. StormNET produces inundation depth at any address from documented storm hydrology; SwaNET produces rainfall and runoff under documented basin response; IGW-NET handles groundwater triggers. The same model that priced the policy validates the trigger condition that fires it.

⚖️

Federation, transparency, audit trail.

Methodology is version-controlled with data lineage from federated sources (USGS NWIS, NOAA, FEMA flood data, state monitoring networks) through preprocessing through simulation. Publish closed observatories for confidential underwriting work; public observatories for regulatory submissions and rate-filing documentation. The audit trail regulators are starting to require — in California, Florida, and at the NAIC — is structural, not retrofitted.

Right physics for the question

Insurance water risk spans physically distinct domains. Each MAGNET platform handles its domain on the federal-agency engine for that physics — coupled through documented handoffs of physically-meaningful quantities.

Flood & storm-surge
StormNET
Property-level flood inundation, urban drainage failure, parametric water-depth triggers, FEMA RR 2.0 analysis — EPA SWMM, FEMA-approved
Climate & watershed
SwaNET
CMIP6 climate scenarios, rainfall-runoff under climate forcing, basin-scale parametric triggers, source-water yield projection — USDA SWAT
Contamination & due-diligence
IGW-NET
Commercial property contamination assessment, ASTM E1527 Phase II analysis, brownfield acquisition risk — MODFLOW 6 + MT3DMS
Infrastructure exposure
ConduitNET
Water-distribution-system failure modes, fire-flow analysis for commercial property, recycled-water systems — EPA EPANET
Federated data fabric
DataNET
USGS NWIS, NOAA, FEMA NFHL, state monitoring networks, federated WMS/WFS/WCS — documented sources for documented methodology
What MAGNET is — and is not

MAGNET4WATER is physics-based water-modeling infrastructure on federal-agency engines. It is not a catastrophe model in the sense of RMS (Moody's), AIR Worldwide (Verisk), CoreLogic, or Karen Clark & Company. Those firms remain the industry's catastrophe-modeling standard for portfolio-scale exceedance-probability work. What MAGNET adds is the physics-based water-modeling layer that supplies inputs to catastrophe models, provides defensible analysis at property and event scales where catastrophe models do not reach, and supports the increasing regulator scrutiny that catastrophe-modeling methodology now faces. Complementary infrastructure, not competitive replacement.

Pain Points & MAGNET Solutions

1

Property-level flood underwriting defensibility

NFIP Risk Rating 2.0 made property-level the unit of analysis. State regulators (California DOI, Florida OIR) are scrutinizing methodology. Rate filings, treaty placements, and ESG disclosures all rest on the underlying water-modeling

MAGNET: StormNET (EPA SWMM, FEMA-approved) provides property-level flood inundation with sub-meter LiDAR and full 1D unsteady Saint-Venant hydraulics; CMIP6 downscaled climate scenarios for forward-looking risk; documented data lineage from FEMA NFHL and USGS NWIS. The methodology behind a rate filing or treaty submission is on the engines federal agencies themselves use.

2

Forensic claims investigation

When a water-damage claim arrives, the forensic questions are: did the water actually reach this address, at this depth, on this date, from this source? AOB (assignment-of-benefits) abuse and water-claim fraud have plagued Florida and expanded to other markets

MAGNET: StormNET reconstructs the storm-event hydraulics from documented historical weather. IGW-NET handles source-water and groundwater pathways. Sub-meter LiDAR establishes property-level elevation. The forensic record reproduces the event from public data — methodology that survives both legitimate-claim resolution and adversarial-claim challenge, with the same audit trail the regulator would verify.

3

Climate-forced portfolio stress-testing

Historical-based catastrophe models price the past, not the future. Insured-loss severity from Ian, Helene, and the LA fires has diverged from prior expectations. NAIC climate-disclosure and state-level stress-testing demands forward-looking analysis

MAGNET: CMIP6 downscaled climate scenarios force SwaNET watershed hydrology and StormNET flood analysis. Run a portfolio at the same event recurrence under historical-climate vs. specific climate-pathway scenarios. Forward-looking water analysis on the engines federal agencies validate — supplying the climate-forced inputs other catastrophe-modeling and ESG-disclosure workflows need.

4

Parametric trigger measurement

Parametric flood and rainfall products pay on a measured trigger. The trigger has to be measurable, defensible against dispute, and grounded in physical evidence the policyholder and the carrier can both verify

MAGNET: StormNET produces inundation depth at any address from documented storm hydrology — the basis for property-level parametric triggers. SwaNET produces rainfall and runoff under documented basin response — the basis for basin-scale triggers. IGW-NET handles groundwater triggers. The same model that priced the policy validates the trigger condition that fires it, with the same methodology defensible to both parties.

5

Regulatory transparency on modeling methodology

California DOI's 2024 ruling first permitted catastrophe models in pricing, but with transparency requirements. Florida OIR is pushing for methodology disclosure. NAIC climate-disclosure rule pending. AI underwriting regulation (CO SB21-169) demands documented audit trails

MAGNET: Methodology is version-controlled with data lineage from federated public sources. Publish closed observatories for confidential underwriting; public observatories for regulatory submissions and rate-filing documentation. The audit trail regulators are starting to demand is structural — not a compliance overlay applied at filing time.

6

Commercial property contamination + flood due-diligence

Commercial property and brownfield acquisitions face combined contamination + flood risk. ASTM E1527 Phase II site assessments are standard. CERCLA Section 107 cost-recovery liability now extends to PFAS-impacted properties after the April 2024 designation

MAGNET: IGW-NET (MODFLOW 6 + MT3DMS + MODPATH) for contamination plume backtracking and capture-zone analysis; StormNET for flood inundation; the same chain of evidence the BP Superfund concept-to-commissioned-remediation pattern was built on. One platform handles the contamination question AND the flood question — with the audit trail commercial-property due-diligence reviewers expect.

Strategic Value

For underwriters, claims investigators, actuaries, reinsurance teams, and corporate-strategy leaders, the architectural commitments translate into three dimensions: pricing defensibility — rate filings, treaty placements, and parametric triggers on FEMA-approved and USGS-validated engines, surviving regulator review at the California DOI, the Florida OIR, the NAIC, and the courtroom; loss-ratio management — forensic claims investigation with reproducible physics-based evidence, supporting both legitimate-claim resolution and AOB-abuse defense; and portfolio strategy under climate-forced uncertainty — CMIP6 climate scenarios driving forward-looking flood and water-quality risk analysis for capital planning, ESG disclosure, and reinsurance-treaty defense.

In a market where major carriers have withdrawn from California, Florida, and Louisiana, and where catastrophe-modeling methodology is now publicly scrutinized, the methodology that defends a position has to rest on the strongest possible footing.

Proven for Defensible Water Analysis

Three analog deployments demonstrating the architectural patterns that apply to insurance water risk: forensic contamination investigation, property-level water analysis with public-facing transparency, and portfolio-scale risk prioritization.

Launch Platform Consulting Partner See Pricing
For underwriting, claims, actuarial, and reinsurance leaders

Managing water risk across portfolios of policies, properties, treaty placements, and parametric products — where the regulatory framework is shifting, the climate is no longer historical, and the methodology defending pricing decisions has to survive courtroom and regulator scrutiny? Read the strategic argument for why the water-resources digital transformation moment is now — and why the multi-tier, multi-scale framework is a viable response at the scale of insurance portfolio analysis.

Read: The Inflection Point →
← Sectors↑ TopCase Studies →