Risk modeling

Climate risk assessment at every scale

Climate risk assessment at every scale

Most climate risk tools force a trade-off: broad coverage with shallow analysis, or deep analysis on a handful of buildings. Iris runs the same engineering framework across your entire portfolio.

Screen hundreds of assets to find concentrations of risk, then go deeper on priority sites with loss estimates grounded in component-level damage modeling.

One platform, one methodology, at every level of analytical depth.

Most climate risk tools force a trade-off: broad coverage with shallow analysis, or deep analysis on a handful of buildings. Iris runs the same engineering framework across your entire portfolio.

Screen hundreds of assets to find concentrations of risk, then go deeper on priority sites with loss estimates grounded in component-level damage modeling.

One platform, one methodology, at every level of analytical depth.

Screen, quantify, model

1.

Portfolio-wide
screening

Upload your asset list and run Class 0 screening across the full portfolio. Within minutes, every asset has a hazard exposure profile across all 13 hazards.

The results show which assets, regions, and hazard combinations demand closer attention.

2.

Asset-level
quantification

For flagged assets, Class 1 assessments use building archetypes built on the same fragility and consequence functions as full engineering studies. Minimal data input. Results ready in minutes.

First loss estimates including repair costs, downtime, and annualized losses.

3.

Engineering-grade
deep dives

When decision stakes are high, Class 2 and Class 3 assessments use validated building parameters and site-specific engineering data.

They identify which components drive risk and produce fully probabilistic loss estimates with explicit uncertainty ranges.

Outputs built for risk and operations teams

Portfolio management

All assets on a single map with aggregated risk ratings, sortable by hazard, geography, asset class, or custom grouping.

Hazard-by-hazard breakdown

Each asset's exposure and vulnerability profiled independently for every relevant hazard. No blended scores that obscure the drivers.

Quantitative loss metrics

Repair costs, downtime estimates, and annualized losses at return-period granularity. Probabilistic ranges (10th, 50th, 90th percentiles) at higher assessment classes.

Export-ready data

CSV, Excel, PDF reports, and GIS overlays. Structured for integration into existing risk management workflows.

Risk rating summaries

Qualitative ratings backed by quantitative definitions, per hazard and per consequence type.

Designed for cross-team communication and stakeholder reporting.

In practice

Data centers

Residential

Climate-ready data centers

A major technology company uses Iris to measure natural-hazard resilience across its global data center portfolio. The platform quantifies downtime and revenue losses per facility, pinpointing retrofit and operational actions needed to meet readiness targets.

The company also screens prospective sites during the selection process, ruling locations in or out before committing to costly technical due diligence.

For deeper engineering assessments, the company works with a professional engineering consultant via the Professional Iris license.

Hazards

Flooding, hurricanes, wildfire, seismic, extreme heat

Asset Types

Data centers, R&D campuses

Drivers

North America

Locations

Site selection, uptime, regulatory disclosures

Data centers

Climate-ready data centers

A major technology company uses Iris to measure natural-hazard resilience across its global data center portfolio. The platform quantifies downtime and revenue losses per facility, pinpointing retrofit and operational actions needed to meet readiness targets.

The company also screens prospective sites during the selection process, ruling locations in or out before committing to costly technical due diligence.

For deeper engineering assessments, the company works with a professional engineering consultant via the Professional Iris license.

Hazards

Flooding, hurricanes, wildfire, seismic, extreme heat

Asset Types

Data centers, R&D campuses

Drivers

North America

Locations

Site selection, uptime, regulatory disclosures

Data centers

Residential

Climate-ready data centers

A major technology company uses Iris to measure natural-hazard resilience across its global data center portfolio. The platform quantifies downtime and revenue losses per facility, pinpointing retrofit and operational actions needed to meet readiness targets.

The company also screens prospective sites during the selection process, ruling locations in or out before committing to costly technical due diligence.

For deeper engineering assessments, the company works with a professional engineering consultant via the Professional Iris license.

Hazards

Flooding, hurricanes, wildfire, seismic, extreme heat

Asset Types

Data centers, R&D campuses

Drivers

North America

Locations

Site selection, uptime, regulatory disclosures

See what your portfolio's risk profile
looks like in Iris