Traditional insurance risk assessment relies on historical data, which can be outdated and fail to account for real-time contextual factors that influence risk at a specific location. This can lead to inaccurate pricing, missed opportunities for coverage, and difficulty in scaling insurance solutions to new markets.

INSR provides a smart platform and dynamic risk engine that leverages geospatial data and digital twin technology to give insurers a real-time, location-based risk assessment. The INSR Dynamic Risk Engine (DRE) integrates multiple data sources, such as weather, elevation, and traffic, to generate a risk score that reflects current conditions. This dynamic digital twin is linked to a 3D geospatial grid, enabling continuous updates and calibration of insurance models based on local parameters. The platform facilitates hyper-localized and personalized insurance products, enabling insurers to quote faster, smarter, and at a lower cost.

Dynamic Risk Engine (DRE) that creates a digital twin integrating multiple data sources for real-time risk scoring.

3D Geospatial Grid linking locations to digital nodes for continuous communication and localized calibration.

AI Risk Profiling using diverse data sources to measure geo-specific attributes for hyper-specific risk assessment.

Smart Contracts enabling automated updates to premium particulars and flexible coverage options.

INSR Smart Platform enabling parametric and smart solutions with seamless information management and reporting.

Solutions for social impact, including parametric insurance for the uninsured and simplified home insurance.

Automated claims solution utilizing location-based, ID, and device data to prevent fraud.

The primary target audience includes insurance carriers and insurtech companies seeking to enhance their risk assessment capabilities, improve pricing accuracy, and develop scalable, hyper-localized insurance products.