Climate resilience for Critical Digital Infrastructure
From site selection to disaster recovery
Iris fits into every stage of your facility lifecycle, from site selection and design through operations and disaster recovery.
Site selection
Which site should I develop?
Screen prospective locations at Class 1, incorporating hazard profiles and site layout options before committing to costly technical due diligence. Rule sites in or out early.
Design & construction
How do I design for resilience from day one?
For new builds, Class 2 and 3 assessments deliver probabilistic loss estimates that inform resilience-based design. Start with a basis of design and simulate resilience interventions to iteratively meet performance targets.
Operations & continuity
Where are the gaps in my portfolio?
Ongoing risk awareness across the portfolio. Quantify readiness targets for critical, revenue-enabling facilities. Identify retrofit and operational actions needed to close gaps.
Disaster recovery
What happens when an event is heading my way?
As events approach, Iris delivers real-time expected loss and recovery forecasts so you can prepare before impact and recover faster after it.
Outputs built for risk and operations teams
Technology-specific archetypes
Hyperscale, colocation, and edge data centers, each modeled with a purpose-built archetype that captures its power and cooling topology, IT load density, and redundancy design.
An archetype is the result of full probabilistic modeling, not a shortcut around it. For each facility type, Iris runs the complete component-level simulation: every major system and space inventoried, a fragility function assigned to each component, and thousands of Monte Carlo draws taken to build a full loss and downtime distribution.
The archetype carries that depth forward. A portfolio of sites gets loss and downtime estimates in minutes, and any high-criticality facility can be modeled against its own design when the stakes justify the detail.
Component-level modeling
Downtime costs dwarf repair costs in a data center. Iris models business interruption and recovery timelines alongside physical damage, so every loss estimate carries the repair bill and the revenue lost while the site is offline.
Availability metrics
Downtime costs dwarf repair costs in a data center. Iris models business interruption and recovery timelines alongside physical damage, so every loss estimate carries the repair bill and the revenue lost while the site is offline.
Risk ratings calibrated to criticality
Ratings tuned to your own risk tolerance and the criticality of each site. A 72-hour outage at an edge node and at a core data center carry very different consequences, and your ratings should too.
Risk rating summaries
Qualitative ratings backed by quantitative definitions, scored per hazard and per consequence type. Built to travel from the facility engineer to the risk committee to the executive who answers for uptime.