London Area, United Kingdom
Jason is a founder and strategic technologist focused on applied AI, intelligent systems, platform architecture, and zero-to-one execution across emerging technologies. With more than a decade working across AI-adjacent systems, from early cognitive search and OSINT platforms through to modern generative AI, orchestration systems, and applied infrastructure, his work sits at the intersection of deep technical execution, product strategy, and rapid innovation under real-world constraints. He has led and built ventures spanning AI, healthtech, developer infrastructure, distributed systems, and regulated environments, with a particular focus on turning technically ambitious ideas into operational systems. His experience spans early-stage R&D, platform design, rapid prototyping, and productionisation. Before generative AI became mainstream, Jason was already building cognitive search, semantic retrieval, and AI-assisted information systems across health and OSINT domains. His work later expanded into some of the earliest applied generative AI workflows and orchestration-driven systems as modern model APIs emerged. More recently, his work has focused on applied AI systems, orchestration, platform integration, and rapid prototyping within regulated and compliance-heavy environments, helping move emerging capabilities from prototype to operational deployment.
Built an API-first platform focused on abstracting the complexity of distributed and emerging technology systems for developers and enterprises. Led product strategy, architecture, and zero-to-one execution across platform infrastructure, interoperability, developer tooling, and applied systems integration, with a focus on simplifying technically complex workflows and accelerating adoption.
I don’t sail fixed routes, I build systems at the edge of games, technology, and experimentation. Alongside The Pixel Privateer, I explore modern mechanics and emerging technologies through the lens of classic hardware, constraints, and game design philosophy. The focus isn’t nostalgia; it’s proving that creativity, systems thinking, and disciplined engineering still outperform excess. No hype. No cargo cults. Just sharp ideas, hard limits, and the occasional black flag.
Built one of the earliest applied generative AI workflows immediately following the release of modern image generation APIs. Developed AI-assisted systems that simplified image generation, digital asset workflows, and user interaction layers into accessible end-to-end intelligent experiences, reducing the technical barriers associated with early generative AI tooling. The platform and underlying infrastructure later evolved into broader intelligent systems and interoperability work through Holokhron Labs.
Built early cognitive search and intelligent data systems focused on applied AI, health, OSINT, and decision-support workflows. The platform explored intelligent retrieval, semantic understanding, and cognitive computing approaches years before the current LLM wave, with a focus on transforming fragmented information into usable operational insight. Worked across AI-assisted search, structured and unstructured data workflows, and applied intelligence systems within health and emerging technology environments.