We offer scientific and technological solutions based on geospatial data for insurance and reinsurance processes.
A web-based risk analysis software offering location/address-based risk queries, pre-policy assessment, and location risk scores in a user-friendly interface.
A WebGIS platform allowing address or coordinate-based risk queries. It has a flexible structure; meteorological risk alerts and agency notification services can be added.
A modern HSE tracking, analysis, and reporting platform that detects occupational safety violations via AI-supported video analytics, offering instant notification systems.
Maps produced using machine learning-based susceptibility models with 14 different conditional factors at 10 m resolution. Validated with landslide inventory data.
A hybrid model solution covering urban and river-based flood risks, produced using HEC-RAS and Machine Learning (ML) algorithms.
Models generating depth maps for 72-hour average and maximum rainfall scenarios. Uses tree-based ensemble learning algorithms.
Susceptibility maps produced for 24 high-risk provinces using 16 parameters (wind, temp, humidity, fuel type, etc.) and 10 different ML algorithms.
Determines earthquake-susceptible zones and structural damage potential by combining factors like soil dynamics, fault density, and local ground amplification.