Joshua Lamerton is a serial entrepreneur, venture-backed founder with exits, and an AI systems architect and international speaker focused on building applied intelligence infrastructure that transforms real-world industries. He is the co-founder of PropTexx, Affordify.ai, the founder of the Agentic Provenance Protocol, and Levenson.ai.
INEVRI is the commercial body of the Agentic Provenance Protocol. It brings the protocol's research and technical standards into deployable products, enterprise implementations, and market-facing infrastructure for trustworthy, governable, and verifiable autonomous AI operations.
This portfolio site is for founders, investors, enterprise technology teams, and real estate organisations who want to understand Joshua's work in applied AI — from production-grade multimodal systems processing tens of millions of images monthly, to strategic AI implementation frameworks that help organisations move from experimentation to reliable deployment.
Joshua's technical focus spans agentic AI systems, retrieval-augmented generation (RAG), LLM fine-tuning, diffusion models, visual AI, AI infrastructure and MLOps, MLS data standards and RESO compliance, and open banking integrations for financial AI. He has spoken at international conferences including the International MLS Forum 2025, PropTech & PortalWatch Conference, RESO Fall Conference in Frisco TX, Vancouver Real Estate Strategy & Leasing Conference, RE/MAX, Greater Vancouver Realtors, and EDHEC Business School.
PropTexx — his flagship venture — is an AI infrastructure platform built for real estate portals and MLS platforms, delivering AI-powered image enhancement, virtual staging, listing quality analysis, photo compliance checking, and comparable property visual search. It processes over 30 million property images monthly across global platforms.
Affordify.ai applies open banking data and AI reasoning to mortgage affordability analysis, helping lenders and consumers navigate financial decisions with greater precision. Levenson.ai provides strategic AI consultancy — covering AI readiness assessments, implementation roadmaps, vendor evaluation, and change management for enterprise teams.
Joshua is a Techstars alumni and an active contributor to open-source AI tooling, agent orchestration frameworks, and MCP server implementations. He writes and speaks on the future of agentic systems, epistemic AI, and the infrastructure layers that will define the next decade of applied intelligence.