Angel investor focused on infrastructure systems with meaningful moats, proprietary data, and global ambitions. Former CTO and founding team member of Rockstar Consortium and Marquis, with two decades building and commercializing emerging technology solutions. Actively investing since 2021.
Angel investor focused on AI-enabled systems across healthcare, data platforms, B2B SaaS, and deep tech—backing companies that use agentic architectures, proprietary data, and learning systems to create lasting value.
Since 2021, I've been actively investing in and advising startups at the earliest stages, focusing on technically complex and/or infrastructure-heavy opportunities.
Prior to investing, I spent two decades building and commercializing technology solutions in telecommunications and intellectual property, including CTO and founding team roles at Rockstar Consortium (sold to RPX) and Marquis (acquired by Hilco Global to form Hilco IP Merchant Banking). This work involved technology analysis, reverse engineering, system design, and commercialization execution for major telecommunications technology portfolios globally.
I'm involved with AwakenAngels and Angel Academe, supporting the next generation of founders.
Digital health platforms, clinical analytics, performance monitoring, and technology-enabled healthcare solutions with real-world clinical impact
Companies creating proprietary data assets, analytics infrastructure, and insights platforms across healthcare, enterprise, and consumer domains
Enterprise software platforms, financial services technology, client engagement systems, and vertical-specific solutions serving business customers
Network-effect businesses, two-sided marketplaces, and platforms connecting supply and demand with technology-enabled differentiation
Technology-intensive systems with defensible positions through proprietary data, infrastructure requirements, or difficult-to-replicate technical capabilities
I invest in early-stage companies where technology defensibility, infrastructure depth, and long-term value creation are central to success.
Systems that require deep domain expertise to build and operate, creating natural barriers to competition.
Companies building foundational layers that require significant infrastructure investment and create compounding advantages over time.
Defensible technology moats through patents, proprietary data, network effects, or systems that are fundamentally hard to copy.
Solutions grounded in actual system requirements, performance limitations, and operational realities rather than theoretical possibilities.
Strong preference for mixed and women-led teams building deep tech solutions—diverse founding teams tend to ask better questions and build more resilient systems.
I invest in early-stage companies where long-term value is created through system design, proprietary data, and real-world execution—not market timing or hype cycles.
A common thread across my portfolio is AI-enabled learning systems. Whether healthcare analytics, revenue optimization, or financial services, these companies use agentic architectures and data-driven algorithms that improve over time, generating proprietary data that compounds in value.
My CTO background taught me to recognize when a technical approach creates advantages that become harder to replicate over time. I'm drawn to founders building for the long term—thinking deeply about architecture, scalability, and how their systems defend market position through technical superiority rather than first-mover advantage alone.
I work best with technical founders who understand that building complex systems requires different judgment than consumer software. These are people where execution matters more than narrative, and the technology itself creates competitive advantage.
Active portfolio focused on technology-defensible systems and infrastructure-heavy opportunities
B2B SAAS
Revenue management platform for hotels, combining advanced analytics with actionable insights to optimize pricing strategy.
HEALTHCARE & DATA
Respiratory analytics platform transforming patient monitoring and clinical decision-making through proprietary algorithms.
HEALTHCARE & WELLNESS
Performance analytics and athlete monitoring platform leveraging biomechanics data to enhance training outcomes.
B2B SAAS & FINTECH
Client engagement platform for financial advisers, modernizing advisor-client relationships through technology.
HEALTHCARE TECHNOLOGY
Digital health platform focused on women's health, combining clinical expertise with technology-enabled care delivery.
DATA PLATFORMS
Data management platform enabling secure personal data storage and controlled sharing with privacy-first architecture.
EDTECH & LEARNING
Adaptive learning platform using data-driven insights to personalize educational experiences and improve learning outcomes.
PLATFORM BUSINESSES & DATA
GPS-enabled asset tracking and digital product passport platform extending equipment lifecycle through traceability and compliance management.
PLATFORM BUSINESSES
Gift commerce platform leveraging data to match gift-givers with personalized recommendations and streamlined purchasing.
I believe staying engaged with professional communities is essential for effective investing and leadership. My involvement with the Chartered Management Institute, British Computer Society, Royal Society of Arts, and Institute of Directors keeps me connected to evolving best practices in technology leadership, governance, and management—providing perspectives that extend beyond day-to-day investing.
CMgr FCMI • MBCS • FRSA • MIoD
Beyond investing, I'm available to help portfolio companies and select boards where my technical expertise or governance experience adds value.
This includes strategic technology decisions, system architecture and scalability planning, IP positioning, board governance, and navigating technical complexity in growth-stage companies.
Available for conference speaking engagements on topics including AI infrastructure, deep tech commercialization, technology monetization, and lessons from building telecommunications and IP systems.