From manual research to 13,000+ qualified opportunities.
How OriginLabs built an intelligent property platform using EPC data, geospatial intelligence, machine learning, and cloud-native infrastructure.
Turning fragmented property data into actionable sales intelligence.
Kingspan’s roof insulation division relied on manual internet research, Google Maps, and physical outreach campaigns to find commercial opportunities.
OriginLabs designed and built an intelligent platform that automated opportunity discovery and delivered prioritized commercial properties directly to the sales team through a web application.
High-value buildings were difficult and expensive to find.
Individual leads could take considerable time to validate, while many suitable buildings were never discovered through conventional research. Publicly available EPC data also remained untapped.
Build a repeatable engine for opportunity discovery.
Identify qualifying properties at scale
Replace manual research with automation
Refresh opportunities every month
Prioritize the highest-value prospects
Improve sales efficiency and conversion potential
A cloud-native property intelligence platform.
The platform combined public building datasets, geospatial intelligence, machine learning, and AI-assisted prioritization in one continuously updated workflow.
Engineering disciplines brought together around the outcome.
The system used cloud, data, geospatial, machine-learning, and application engineering capabilities as one integrated platform.
Have a complex opportunity hidden in your data?
Let’s explore how the right combination of AI, data, and software engineering could make it operational.