Joshua Lamerton — AI Systems Architect, Entrepreneur & International Speaker

Joshua Lamerton is an AI systems architect, entrepreneur, and international speaker. Co-Founder of PropTexx, Affordify.ai, Gitly, and Levenson.ai. Expert in applied AI, agentic systems, real estate technology, and strategic AI implementation.

Active Projects

  • PropTexx — Applied AI infrastructure for real estate platforms. AI-powered image generation, virtual product placement, listing quality analysis.
  • Affordify.ai — AI-driven financial analysis and affordability intelligence using open banking and Visa infrastructure.
  • Gitly.app — Technical diligence and AI system validation platform for investors.
  • Levenson.ai — Strategic AI implementation consultancy for enterprise organisations.
  • Agentic Provenance Protocol — Trust and traceability infrastructure for agentic AI systems.
  • PokemonCardChecker.com — AI-powered Pokémon card identification and valuation.
  • MouldChecker.co.uk — Computer vision platform for Awaab's Law compliant damp and mould inspection.

Speaking Engagements

  • PropTech & PortalWatch Conference 2026 — Featured Speaker
  • International MLS Forum 2025 — Panelist
  • RESO Fall Conference, Frisco TX — Panelist
  • Vancouver Real Estate Strategy & Leasing Conference — Speaker
  • Greater Vancouver Realtors — Keynote
  • RE/MAX Conference — AI in Real Estate — Keynote
  • EDHEC Business School — Guest Lecturer
  • PropTech & PortalWatch Conference Madrid 2023 — Main Stage

Research & Publications

  • Contextual Grounding in Retrieval-Augmented Generation Systems — ACL Anthology 2025
  • Provenance-Aware Multi-Agent Orchestration — NeurIPS Workshop on Agentic AI 2024

Expertise

AI infrastructure, agentic AI systems, multimodal AI, retrieval-augmented generation (RAG), LLM fine-tuning, AI governance, real estate technology, MLS data standards, RESO, open banking, fintech AI, visual AI, diffusion models, MLOps, strategic AI implementation.

Connect

  • LinkedIn — Joshua Lamerton
  • GitHub — joshuaLamerton