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Ecopia AI

AI-powered geospatial intelligence for property risk assessment, underwriting, and claims management.

Data & Analytics Growth Seed
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Overview

Ecopia AI is an artificial intelligence company on a mission to digitize the world by converting high-resolution geospatial imagery into high-definition vector maps. The company's intelligent systems leverage groundbreaking advancements in machine learning to extract insight from geospatial big data, creating a digital twin of the Earth that powers critical decision-making across industries.

For the insurance industry, Ecopia provides the foundational geospatial property intelligence that P&C carriers, reinsurers, and insurtechs need for accurate property risk assessment, informed underwriting, and effective claims management. The company has created the first and only complete map of every building in the United States, comprising 178M+ buildings and 270M+ primary and secondary addresses.

Ecopia's technology is used by 7 of the top 10 US P&C carriers, the top two global reinsurers, and numerous smaller insurance and insurtech firms across more than 100 countries worldwide. The company was spun out of PhD research at the University of Waterloo and has been recognized three times on FinTech Global's InsurTech100 list.

Products & Services

Building-Based Geocoding

Ecopia's dedicated geocoding engine uses a unique machine learning-based address parsing system to match each address to the correct building footprint at scale. This provides rooftop-level geocodes and precise building footprints derived from high-resolution imagery, offering a uniquely accurate foundation for all subsequent location-based analyses.

Key Features

  • 178M+ high-precision building footprints across the US
  • 270M+ primary and secondary address points
  • Rooftop-level geocoding accuracy
  • Machine learning-based address parsing

Target Users: P&C carriers, reinsurers, insurtechs, underwriters

3D Land Cover

Detailed property risk factor mapping from AI analysis of geospatial imagery, providing comprehensive views of properties and their surroundings to better anticipate risk and estimate replacement cost.

Key Features

  • Detailed mapping of water bodies, swimming pools, trees, and vegetation
  • 3D building data for wind and storm risk assessment
  • Continuously updated from fresh geospatial imagery
  • Available for the 400 largest US cities (in partnership with Nearmap)

Target Users: Underwriters, catastrophe modelers, claims adjusters

Change Detection

AI-based mapping systems that continuously ingest and process up-to-date geospatial imagery, empowering carriers to detect changes to structures including damage, additions, and other characteristics that impact a property's risk profile.

Key Features

  • Year-over-year structural change detection
  • Damage assessment from geospatial imagery
  • Property modification monitoring
  • Automated risk profile updates

Target Users: Underwriters, claims teams, portfolio managers

Global Feature Extraction

On-demand AI-powered extraction of geospatial features at continental scale, supporting mapping of buildings, roads, land cover, and other features from high-resolution imagery.

Key Features

  • Continental-scale mapping capability
  • 2D and 3D feature extraction
  • Support for multiple imagery sources (satellite, aerial)
  • Partnerships with Airbus and Nearmap for imagery

Target Users: Catastrophe modelers, reinsurers, government agencies

At a Glance

Founded
2013
Headquarters
Toronto, Ontario, Canada
Employees
51-200
Funding
Seed

Category & Focus

Category
Data & Analytics
Subcategories
Data enrichment property intelligence geospatial analytics risk scoring
Insurance Verticals
P&C Commercial P&C Personal Reinsurance
Target Customers
Carriers, Reinsurers, MGAs/MGUs, Brokers

Customers

  • Munich Re
  • Swiss Re
  • USAA
  • Farmers Insurance
  • Cincinnati Insurance
  • Tokio Marine
  • Harford Mutual
  • Neptune Flood
  • Openly
  • Flow Flood

Last updated: 2026-03-25