Joshua Lamerton is a serial entrepreneur and venture-backed founder with exits. He builds, operates and develops technology businesses across artificial intelligence, infrastructure, financial technology, real estate, advertising and autonomous systems.
His work is particularly focused on technologies created by major structural shifts: areas where a new enabling layer is required before a technology can become widely commercially useful. The portfolio spans established companies, engineering initiatives, products, research programmes and early-stage venture development.
A recurring pattern connects these projects: identify a technological transition, understand what becomes newly possible, find the missing enabling layer, then build or test the infrastructure around it.
AI and media infrastructure for real-estate platforms and marketplaces. Work spans computer vision, multimodal AI, generative media, enterprise AI infrastructure and new advertising applications built around real-estate imagery.
Affordability intelligence and responsible-lending infrastructure using consented banking data and financial behaviour — helping consumers and property professionals better understand home-buying affordability and financial readiness.
Security, identity, behavioural provenance and policy infrastructure for autonomous AI systems — engineering progressively stronger trust for machine actors. INEVRI is the protocol’s commercial body, translating its standards into deployable products and enterprise infrastructure.
AI-native compute and infrastructure orchestration — a software-defined operating layer coordinating heterogeneous GPU infrastructure, distributed compute, AI workloads, energy and data. Also referenced as MNX / MNX-Cloud.
Machine-to-machine coding and software integration infrastructure for AI agents, software systems, APIs and codebases. Bridge, formerly Gitly, explores the infrastructure required for machine-to-machine software development.
Search and discovery infrastructure for an AI-mediated internet — examining how the relationship between websites, search engines, answer engines and AI assistants is changing.
Distributed digital-out-of-home advertising infrastructure built around commercial motorcycle and delivery fleets. Initial market focus is Thailand.
Advertising technology and infrastructure venture — focused on developing new advertising infrastructure, distribution models and AI layers.
Computer-vision and multimodal AI applications for property-condition assessment — identifying and evaluating visible mould and related property conditions from imagery.
Research into technology entrepreneurship, founder cognition and transformational company formation. The Level-0 methodology is applied to venture investing through PocketRocket. Working title: Level-0: The Zero Noise Founder.
Venture studio (buildapocketrocket.com) where Joshua Lamerton is Founding Partner. Applies the Level-0 methodology to identify and back founders building transformational companies around major technological discontinuities.
Autonomous commerce and AI-enabled merchant infrastructure — exploring how the historical merchant-house model could be recreated using modern autonomous technology.
Founding Partner · buildapocketrocket.com
Joshua Lamerton is Founding Partner of Pocket Rocket, a venture studio that builds, backs and accelerates founders pursuing transformational companies around major technological discontinuities.
The studio's thesis is grounded in the Level-0 research programme — the proposition that the emergence of transformational companies can be studied with enough rigour to produce a methodology with predictive value. Pocket Rocket applies that methodology to identify the inflection points, founder archetypes and missing enabling layers that precede category-defining companies, then partners with founders at the earliest stage to build them.
Areas of focus span artificial intelligence, agentic systems, AI infrastructure, search and developer infrastructure, advertising technology, financial technology and real estate — the same structural transitions that run through the wider venture portfolio.
Joshua Lamerton is a serial technology entrepreneur, technologist, and investor who builds companies, infrastructure, and research around major technological transitions across artificial intelligence, agentic systems, AI infrastructure, search, developer infrastructure, advertising technology, financial technology, and real estate.
Joshua Lamerton has founded PropTexx, Affordify.ai, the Agentic Provenance Protocol, Meta Neural Nexus (MNX), Bridge (formerly Gitly), AISearchOS, RiderAds, GoldenGateAds, MouldChecker, the Level-0 research programme, Merchant House, and PocketRocket (venture investing).
PropTexx is an AI and media infrastructure platform for real-estate platforms and marketplaces. It develops computer vision, multimodal AI, generative media, enterprise AI infrastructure, and new advertising applications built around real-estate imagery, processing more than 30 million property images monthly.
Affordify.ai develops affordability intelligence and responsible-lending infrastructure using consented banking data and financial behaviour, helping consumers and property professionals understand home-buying affordability and financial readiness.
The Agentic Provenance Protocol is an engineering initiative focused on protecting software from autonomous AI activity and establishing progressively stronger identity, provenance, and trust for machine actors. Areas include AI-agent detection, behavioural provenance, policy enforcement, and cryptographic assurance. INEVRI is the protocol's commercial body.
INEVRI (inevri.com) is the commercial body of the Agentic Provenance Protocol. It translates the protocol's research and technical standards into deployable products, enterprise implementations, and market-facing infrastructure for trustworthy, governable, and verifiable autonomous AI operations.
Meta Neural Nexus (MNX or MNX-Cloud) explores a software-defined operating layer for artificial-intelligence infrastructure, coordinating heterogeneous GPU infrastructure, distributed compute, AI workloads, energy, and data through an AI-native infrastructure layer.
Bridge, formerly Gitly, is a machine-to-machine coding integration assistant built around the requirement for software systems, development tools, and AI agents to communicate with each other programmatically. It explores machine-to-machine coding workflows, codebase interoperability, and agent-to-agent development coordination.
AISearchOS is search and discovery infrastructure designed for an AI-mediated internet, examining how the relationship between websites, search engines, answer engines, and AI assistants is changing. It focuses on AI search optimisation, generative engine optimisation, and machine-readable websites.
RiderAds is a distributed digital-out-of-home advertising platform built around commercial motorcycle and delivery fleets. The initial market focus is Thailand, with work spanning DOOH advertising, gig-economy fleet integration, location intelligence, and campaign attribution.
GoldenGateAds is an advertising-technology venture focused on developing new advertising infrastructure, distribution models, and AI layers.
MouldChecker is an applied artificial-intelligence product that uses computer vision and multimodal AI to identify and assess visible mould and related property conditions from imagery, supporting property-condition assessment and AI-assisted inspection.
Level-0 is a research programme investigating whether the emergence of transformational companies can be studied with enough rigour to produce a methodology with predictive value. It examines technological discontinuities, founder cognition, opportunity selection, and market timing, and is applied to venture investing through PocketRocket. Working title: Level-0: The Zero Noise Founder.
PocketRocket (buildapocketrocket.com) is a venture studio where Joshua Lamerton is Founding Partner. It applies the Level-0 methodology to identify and back founders building transformational companies around major technological discontinuities.
Merchant House is venture research exploring how the historical merchant-house model could be recreated using modern autonomous technology, examining the use of AI agents for commercial discovery, procurement, sourcing, negotiation, financing, and logistics.