See your catastrophe exposure clearly.
Catastrophe risk decisions depend on the quality of the exposure data behind them.Insurers need accurate location data, trusted catastrophe models, and continuous visibility into portfolio accumulations. Xceedance combines catastrophe expertise, IAN's agentic ecosystem, and the Xceedance Risk Data Platform to help insurers understand concentration risk, optimize portfolios, strengthen underwriting decisions, and respond faster when catastrophic events occur.
See IAN in action
Catastrophe risk is a data problem before it becomes a portfolio problem.
Every catastrophe model depends on the quality of the underlying exposure data.Addresses must be geocoded correctly. Occupancies must be standardized. Construction attributes must be mapped consistently. Portfolio concentrations must be understood across perils, geographies, and lines of business.The challenge is not running more models. It is ensuring decision-makers can trust the outputs.
Exposure Data Collection
Data Quality & Validation
Exposure Enrichment
Catastrophe Modeling
Portfolio Analysis
Risk & Capacity Decisions
Exposure management teams often spend more time validating data than analyzing risk. Location quality issues, inconsistent occupancy coding, model preparation requirements, and portfolio monitoring activities create significant operational effort before meaningful risk insights can be generated.
From exposure data to catastrophe insight, in six steps
Less time validating data. More time managing portfolio risk.
Exposure Data Received
Policy, location, portfolio, and risk data enter the catastrophe management workflow.
IAN Exposure Quality Agent
Validates address quality, geocoding accuracy, completeness, and data consistency across portfolios.
IAN Exposure Enrichment Agent
Maps occupancy and construction attributes, standardizes model inputs, and prepares catastrophe-ready exposure data
IAN Portfolio Intelligence Agent
Identifies accumulation trends, exposure shifts, concentration risk, and portfolio movements across regions and perils.
Human Review
Catastrophe modelers and exposure management specialists validate assumptions, review outputs, and assess portfolio implications.
Risk & Business Decision Support
Catastrophe analyses support underwriting, reinsurance purchasing, portfolio optimization, and capital allocation decisions.
One model. Three layers.
Catastrophe platforms generate risk insights. IAN automates exposure preparation, data quality reviews, and portfolio monitoring workflows. The Xceedance Risk Data Platform creates a single, trusted view of exposure across systems, models, and portfolios. Catastrophe specialists provide interpretation, validation, and decision support.
IAN
IAN Agentic Layer
Exposure validation, geocoding quality review, occupancy mapping, catastrophe model support, portfolio monitoring, event response orchestration, and catastrophe intelligence agents.
Comprehensive support across catastrophe and exposure management
What improves for you
Better business visibility
Leaders gain a clearer understanding of performance across the enterprise.
Faster insight generation
Questions that once required weeks of analysis can be answered more quickly.
Improved underwriting outcomes
Analytics uncover opportunities to improve portfolio quality and profitability.
Improved claims performance
Trends, leakage, and performance issues become easier to identify and address.
Smarter growth decisions
Organizations gain deeper visibility into customer, channel, and portfolio opportunities.
More confident decision-making
Leaders can act on data-backed insights rather than assumptions.
Human analytical expertise
Data scientists and business experts remain responsible for interpretation, recommendations, and strategic guidance.
Better insight drives better insurance outcomes.
Explore Our Success Stories
Systems maintain the data. Agents uncover the insight. Experts drive the action.