Co-founder of QuantumBlack (acquired by McKinsey) · Former McKinsey AI Partner · Mentor-in-Residence at the AI Founder Retreats

I partner with Founders, Leaders, and Venture Partners to build the future with AI.

I spent 15 years building one of the world's leading AI practices: from a Formula 1 garage to a 1,500-person global capability inside McKinsey. Now I work hands-on with the people who are shaping what comes next.

FOR FOUNDERS: ACCELERATE & SCALE

I work with AI-native founders as a co-founder, advisor, and investor - not from the sidelines, but in the work. I've built and scaled a company from five people to a global acquisition, and I bring that operator perspective to every founder relationship.

• Co-build Joint ventures and elastic access to distinctive AI product engineers through Palindrom.ai, our applied product engineering studio. We ship MVPs and scale production systems - not decks.
• Co-invest Active angel investor with 25+ investments across climate tech, health, fintech, HR tech, and enterprise AI. I join early rounds, introduce to other angels and VCs, and then stay useful — with product strategy, hiring, enterprise introductions, and follow-on capital.
• Connect Targeted introductions to design partners, distinctive AI engineering talent, and aligned capital — at the moments where leverage actually matters. Curated through years of building AI founder, engineer, and angel networks across Europe and the US.

FOR ENTERPRISE: INDUSTRIALIZE & CAPTURE

I don't advise from the outside. I embed inside organisations as a fractional product and engineering leader — sitting in the leadership team, running the workshops, shaping the architecture, and helping teams adopt product-led ways of working.

• Product Operating Model Shifting organisations from project-based IT delivery to empowered AI-native product teams. Introducing quarterly OKR cycles, domain-led team topologies, and modern engineering practices — drawn from SVPG, Team Topologies, and what actually works at scale.
• AI Strategy That Ships Reorienting AI investment away from "pilot theatre" toward measurable outcomes. Selecting architectures, standing up engineering teams, and building the systems that let organisations keep improving after I leave.
• Capability Building Embedding the culture, processes, and technical skills required for an organisation to innovate and scale AI product engineering on its own. I've done this for 200+ person digital organisations across education, health, and international development.

FOR INVESTORS: DE-RISK & DEPLOY

I help VC, PE, and family office investors make better decisions about AI — before, during, and after they invest.

• Investment Conviction Hands-on technical due diligence that separates genuine AI IP from wrapper-thin hype. I've reviewed hundreds of AI companies across my career and I know what real engineering looks like versus demo-ware.
• Portfolio Acceleration Operating partner and board-level support to help portfolio companies make the right product, hiring, and architecture decisions early — when it's cheap to get right and expensive to get wrong.
• Enterprise Context Because I work inside large organisations as a fractional leader, I have current, first-hand insight into what enterprise buyers actually need, how they buy, and what makes them renew.