Insurance
AI systems that evaluate applicant risk factors and external data signals to generate pricing recommendations and underwriting decisions with less manual review.
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Years in production
Industry overview
Underwriting automation platforms that combine applicant data, external enrichment sources, and portfolio exposure models to produce risk-adjusted pricing recommendations and decision support for underwriters.
At a glance
Manual underwriting is slow, inconsistent, and expensive. Underwriters applying subjective judgement to the same risk produce different pricing outcomes — and high-volume personal and SME lines cannot be underwritten profitably without automation. ArrayMatic builds underwriting models that process risk in seconds, with human review reserved for complex or high-value cases.
We design risk scoring models using applicant data, telematics, geospatial signals, and claims history. Dynamic pricing models account for portfolio concentration and reinsurance treaty terms. Underwriter decision support tools present a pre-scored risk profile with supporting evidence — so complex reviews are faster and more consistent. Every decision is documented for regulatory audit.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to insurance clients.
Multi-variable risk scoring with external data enrichment
Telematics and geospatial signal integration for property and auto
Dynamic pricing with portfolio concentration constraints
Underwriter decision support with pre-scored risk profiles
Reinsurance treaty and capacity limit integration
Regulatory audit trail for all underwriting decisions
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