Building F1 Cars
Developer in the PLM team at Brawn GP, helping the team build faster and smarter on its way to winning the Drivers’ and Constructors’ Championship titles in 2009.
I’m Co-Founder and CEO of Provably.
My work sits at the intersection of verifiable data and AI. As an architect and builder, my core belief is that verifiable data will become foundational infrastructure for reliable and secure distributed systems.
Previously, I spent 15 years at IBM UK as a developer and architect, building PLM systems for Formula 1, aerospace, and defence clients. Later, my work on emerging business models for autonomous systems led me into startups focused on verifiable data and blockchain infrastructure.
My academic background is in Computer Systems Engineering and Product Lifecycle Management.
From motorsport to submarines to connected EV platforms.
Developer in the PLM team at Brawn GP, helping the team build faster and smarter on its way to winning the Drivers’ and Constructors’ Championship titles in 2009.
Played a role at Mercedes Benz High Performance Engines, the team that supplied Lewis Hamilton's championship winning engine in 2008.
Architect for 5+ years building complex engineering systems for a nuclear submarine program.
Chief Architect for a major connected and electric vehicle program. Led strategy for emerging data ecosystems and future business models, where I learned the critical role of verifiable data.
We trace the origins of Provably, from early work on data ecosystems and blockchain infrastructure to the launch of our novel verifiable database approach.
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Explaining what verifiable databases are and their use cases in blockchain and mainstream scenarios.
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Hosting a panel on privacy, confidentiality, and the requirements for always-on financial systems.
Speaking about decentralized AI, data verification, and the trust layer needed for autonomous systems.
Speaking with Google and Near Protocol.
Hosting a conversation on how AI agents and adjacent technologies are changing crypto products and infrastructure.
We spoke about Provably V1, which focused on verifiable analytics, privacy, and discovery of distributed data.
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Spoke with Anthony Day from Midnight and Danilo Kim of Zap on the role of verifiable data in privacy.
Hosted a discussion on why payments remain one of the clearest paths toward mainstream crypto adoption.
Discussing the infrastructure and data foundations needed for value to move reliably across digital systems.
Hosting a market-focused discussion on liquid staking trends, opportunities, and ecosystem growth.