Core Offering
Insurity provides a cloud‑native SaaS platform that bundles data analytics, underwriting automation, and claims management for life insurers. The solution is built on a microservices architecture that allows carriers to plug in data sources, customize policy workflows, and scale compute resources on demand.
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Data‑Driven Underwriting
At the heart of the platform is a predictive analytics engine that ingests medical, lifestyle, and financial data. Machine‑learning models generate risk scores and suggested premium ranges, reducing manual review time and improving pricing accuracy.
Model Types
- Logistic regression for mortality risk
- Gradient boosting for longevity trends
- Neural nets for behavioral underwriting
Pricing & Rating Engine
The rating engine supports multi‑factor pricing, allowing carriers to adjust rates by age, gender, health status, and policy duration. Integrated rate tables can be updated in real time, ensuring compliance with regulatory changes.
Claims Automation
Claims workflows are orchestrated through a low‑code interface. Automations capture claim data, trigger adjudication rules, and route payments, cutting cycle time from days to hours.
Integration & Extensibility
RESTful APIs expose policy, underwriting, and claims endpoints. SDKs for Java, .NET, and Python enable rapid integration with legacy systems and third‑party analytics platforms.
Compliance & Security
Insurity adheres to ISO 27001, SOC 2, and GDPR. Data residency options include US, EU, and Asia‑Pacific regions, and the platform supports role‑based access control and audit logging.
Scalability & Cost Model
Pricing follows a subscription model with tiered usage caps. On‑demand compute scaling ensures performance during peak underwriting seasons, while a pay‑per‑transaction option caps costs for low‑volume carriers.
Industry Impact
Adoption of Insurity's platform has led to measurable gains: 30‑40% reduction in underwriting cycle times, 15‑20% improvement in pricing precision, and 25% lower claim processing costs for early‑adopter insurers.