What is Wrisk?
Wrisk offers a specialized technology platform designed to help automotive brands modernize their insurance offerings. It provides a digital-first, legacy-free system that facilitates the rapid creation, launch, and operation of distinct insurance experiences. This platform is built for scalability, supporting various products, brands, carriers, and geographical locations, emphasizing an exceptional customer experience.
Leveraging real-time, diverse data sources across the entire insurance value chain, Wrisk enables smarter decision-making through intelligent scoring. The platform incorporates machine learning for continuous product improvement and utilizes telematics and connected car data for innovation in insurance products. Additionally, Wrisk provides regulated Insurance Intermediary services in the UK through its own authorized MGA and offers tailored intermediary or advisory services in other regions via established partnerships.
Features
- Global Platform Technology: Digital-first, legacy-free platform for creating, launching, and operating insurance experiences at scale.
- Real-time Data Integration: Utilizes diverse data sources across the insurance value chain.
- Intelligent Scoring: Employs smart scoring methods for better decision-making.
- Machine Learning Application: Continuously improves products through machine learning insights.
- Telematics & Connected Car Data Utilization: Leverages vehicle data for insurance innovation.
- UK Intermediary Services: Offers regulated Insurance Intermediary services via its MGA in the UK.
Use Cases
- Developing embedded insurance products for automotive brands.
- Launching and scaling digital insurance experiences for car manufacturers.
- Utilizing real-time vehicle data for usage-based insurance models.
- Improving insurance product offerings through machine learning insights.
- Streamlining insurance operations for automotive partners.
- Providing regulated intermediary services for automotive insurance in the UK.
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Wrisk Uptime Monitor
Average Uptime
99.93%
Average Response Time
231.6 ms
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