AI-Driven Risk Intelligence

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The analysis pipeline

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The risk scoring pipeline processes events in three stages:

1. Ingestion -- raw event data from multiple sources
2. Enrichment -- geospatial correlation with insured exposure
3. Scoring -- severity classification against portfolio thresholds

Architecture overview

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What sets it apart

Unlike traditional catastrophe models that rely on static return-period estimates, this approach scores live events against your actual book of business. Key differentiators include:

• Exposure-first analysis tied to real portfolio data rather than industry averages
• Sub-hour latency from event detection to actionable alert delivery
• Configurable thresholds per peril class, region, and line of business

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Looking ahead

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