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Mapizy

GeoAI property analytics and risk intelligence for insurance carriers

Underwriting & Risk Startup Seed
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Overview

Mapizy is a geospatial data and analytics provider for property insurance carriers, applying computer vision and deep learning to aerial and satellite imagery to extract property attributes and risk signals. Founded by Dr Mehdi Ravanbakhsh, a computer vision researcher from the University of Western Australia, the company automates the generation of geospatial insights to help insurers assess property risk at scale.

The core platform processes HD aerial imagery -- covering 80% of the Australian urban environment at 5cm resolution updated every three months -- to identify property features such as pools, solar panels, roof conditions, and structural characteristics. Products are delivered via a web-based studio interface and a cloud REST API that connects to insurance quoting and policy administration systems for automated underwriting and policy adjustment workflows.

Mapizy serves P&C carriers and related real estate and government sectors across Australia and Southeast Asia. Customers include IAG (Insurance Australia Group) and RAA (Royal Automobile Association). The company has received support through several Australian government programs including the BRII and Access Asia grants, CSIRO ON Prime, and CORE Innovation Hub.

Products & Services

Mapizy Studio

An interactive web platform providing real-time access to property geospatial data and analytics for underwriting and risk assessment teams.

Key Features

  • Real-time property attribute lookup and mapping
  • Visualization of property change detection over time
  • Batch processing and export of property analytics

Target Users: Insurance underwriters, property risk analysts

Property Analytics Engine

Automated analysis of HD aerial imagery to detect and extract property features used in insurance risk scoring and underwriting.

Key Features

  • Pool, solar panel, and roof condition detection via deep learning
  • Building characteristic extraction (footprint, structural attributes)
  • 5cm resolution coverage across 80% of Australian urban environment with 3-month refresh cycle

Target Users: P&C carriers, underwriting platforms

Urban Change Detection

City-scale change detection tracking modifications to the built environment over time, enabling insurers to identify new construction, demolition, and infrastructure changes that affect risk profiles.

Key Features

  • Automated detection of new construction and demolition
  • Infrastructure change monitoring
  • Historical comparison across imagery vintages

Target Users: Property insurers, urban planners, government agencies

Packaged Data Products

Pre-processed geospatial datasets including building footprints, road networks, and land cover classification data available for direct purchase and system integration.

Key Features

  • Building footprint data
  • Road network datasets
  • Land cover classification layers

Target Users: Insurance carriers, real estate firms, infrastructure operators

Analytics API

Cloud-based REST API enabling automated property analytics workflows, batch processing, and integration with insurance and real estate platforms.

Key Features

  • Batch and on-demand property query endpoints
  • Integration with insurance quoting systems for quick quote automation
  • Automated policy adjustment triggers based on property changes

Target Users: Insurance technology teams, carriers with API-connected policy systems

At a Glance

Founded
2014
Headquarters
Perth (Cloverdale), Western Australia, Australia
Employees
1-10
Funding
Seed

Category & Focus

Category
Underwriting & Risk
Subcategories
Geospatial risk data property analytics aerial imagery analytics change detection
Insurance Verticals
P&C Personal P&C Commercial
Target Customers
Carriers

Customers

  • IAG (Insurance Australia Group)
  • RAA (Royal Automobile Association)
  • Toyota
  • Airbus
  • Maxar

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Last updated: 2026-06-03