Advanced Risk Analytics logo

Advanced Risk Analytics

Data analytics and risk assessment software for insurance and reinsurance sectors

Data & Analytics Growth Bootstrapped
Visit Website

Overview

Advanced Risk Analytics (ARAPL) is a data analytics and risk assessment software company serving insurance carriers and reinsurers. Founded in 2014 in Pune, India, the company builds analytical tools that help insurers translate large exposure datasets into actionable intelligence for catastrophe risk modeling, earthquake assessment, and portfolio management.

The company delivers its platform through a high-performance computing (HPC) infrastructure, combining geospatial information systems (GIS), remote sensing, image processing, and machine learning. Core capabilities include satellite and drone-based data processing, statistical modeling, natural language processing, and telematics data analysis. The platform integrates with existing insurance systems via API and supports cloud-based deployments on Microsoft Azure.

Advanced Risk Analytics is bootstrapped with support from the Pitney Bowes India Accelerator and holds Government of India Start-up Recognition. The company maintains offices in Pune and Southborough, Massachusetts, indicating active North American market development alongside its APAC base.

Products & Services

Risk Assessment Framework

A comprehensive data analysis platform with customizable dashboards for risk visualization and exposure management. Helps insurers understand portfolio risk concentration and optimize underwriting decisions.

Key Features

  • Customizable risk dashboards and reporting
  • Big data analysis for exposure portfolio management
  • Integration with existing insurance system data sources

Target Users: Insurance carriers and reinsurers managing catastrophe exposure

GIS & Remote Sensing Analytics

Geospatial analytics combining satellite imagery, drone data, and spatial modeling for property and catastrophe risk assessment. Supports earthquake and natural catastrophe risk evaluation.

Key Features

  • Satellite and drone-based remote sensing data processing
  • Image processing and computer vision for exposure assessment
  • Spatial analytics for catastrophe and earthquake risk modeling

Target Users: P&C carriers, reinsurers, and catastrophe modelers

Data Analytics & Machine Learning

Custom analytical products using NLP, statistical modeling, and machine learning to process structured and unstructured data from telematics, IoT devices, and satellite sources.

Key Features

  • Natural language processing for unstructured insurance data
  • Telematics and IoT data integration
  • Predictive modeling for risk outcome forecasting

Target Users: Carriers and reinsurers seeking advanced predictive capabilities

Consultancy & Integration Services

Professional services for data quality evaluation, model development, software integration, and analytics implementation within existing insurance technology environments.

Key Features

  • Data quality assessment and remediation
  • Custom model development and validation
  • Integration with existing policy and claims systems

Target Users: Insurers implementing analytics capabilities for the first time

At a Glance

Founded
2014
Headquarters
Pune, Maharashtra, India
Employees
11-50
Funding
Bootstrapped

Category & Focus

Category
Data & Analytics
Subcategories
Catastrophe modeling Exposure management Risk quantification Geospatial analytics
Insurance Verticals
P&C Commercial Specialty/E&S Reinsurance
Target Customers
Carriers, Reinsurers

Customers

  • Insurance carriers and reinsurers (specific customer names not publicly disclosed)

Links

Similar Companies

Last updated: 2026-07-01