Joshua Lamerton is a commercial technologist and the Co-Founder and Chief Revenue Officer of PropTexx, an artificial intelligence firm focused on visual intelligence for real estate and retail. With over fifteen years in product engineering and a decade dedicated to developing advanced machine learning applications, Lamerton is recognized for his ability to integrate cutting-edge research into practical, production-grade systems.
A four-time founder and Techstars alumnus, his expertise spans computer vision, quantum machine learning, and agentic retrieval-augmented generation for time series analysis. At PropTexx, he leads the development of an "intelligence layer" that transforms static property images into structured architectural data. This enables photorealistic virtual staging and contextual commerce at scale, driving significant advancements in how properties are marketed. A member of the Forbes Technology Council and a frequent speaker, Lamerton is committed to advancing generative AI and driving global innovation within the in-home economy.
AI That Performs: Unlocking New Revenue Through Retail Media and Portal Intelligence
As portal valuations fluctuate and investor confidence tightens, AI investment must deliver measurable returns. But beyond operational efficiency and lead optimisation, a new opportunity is emerging at the intersection of property and retail.
In this session, James Gray and Josh Lamerton of PropTexx will explore how leading portals are using AI-powered image recognition and enhancement to improve listing quality while unlocking new retail-driven revenue streams. Through Virtual Product Placement (VPP), property images become monetisable retail media assets—seamlessly integrating brands into property environments without disrupting user experience. We’ll examine how portals are aligning AI deployment with commercial outcomes, from engagement and conversion to entirely new revenue categories.
