The Challenge
Build an enterprise platform that blends climate models, data science, and spatial finance to guide investors in allocating capital to climate-resilient assets anywhere across the globe.
The Solution
An AI-powered location analytics platform was developed on AWS with the capability to generate accurate land and property value forecasts for every year through 2040.
Hundreds of socioeconomic, demographic, and market indicators were seamlessly integrated into the platform.
Key features included:
Portfolio Analytics
Actionable insights for risk management, portfolio optimization, and global investment strategy.
Alpha Finder
Optimal location identification for acquisitions based on investor mandates according to dozens of geocoded and proprietary datasets.
Risk and Resilience Indicators
Measure and score any location’s risk exposure and societal resilience to climate disruptions.
The Results
Cost-savings by reducing investment risks with accurate forecasts
Data-driven insights inform confident property decisions, thus reducing uncertainty
Future-proofing investments by allocating capital to climate-resilient assets
Technologies Used
SNOWFLAKE
NODE.JS
PostgreSQL
angular
django
Python
AWS Sage Maker
AWS S3 Bucket
AWS RDS
AWS EMR
AWS EC2
Impact by the NUMBERS
550
engineered features across scenarios and time periods
81M
spatially indexed locations
44.6B
Unique data points
