Governability
Governability creates value
Defensible intellectual property, trusted data, regulatory readiness, procurement discipline and operating resilience determine whether technical advantage can withstand institutional scrutiny.
Deep-tech & AI investment diligence
Separating real technical advantage from narrative risk.
Before capital moves, I help investors and boards test whether a company's technology, IP position and evidence actually hold up — the same question at the centre of my book, Algorithmic Roulette: as machine models increasingly judge who gets funded, who checks whether the model itself is right?
What diligence covers
Three questions that determine whether technical advantage will survive scrutiny.
Commercialisation
IP, commercialisation & international scale
Technology defensibility, chain of title, product and market validation, strategic partnerships and cross-border expansion.
Technology oversight
AI, data & technology oversight
Board-level oversight of technical capability, model and data risk, responsible adoption, cybersecurity and operational resilience.
From the book
Algorithmic Roulette
How machines decide who gets funded — and the disciplines investors and boards need to govern that judgment rather than simply trust it. The framework behind this diligence work is set out in full in the book.
Read about the bookDeep-Tech Readiness Diagnostic
A confidential, structured self-assessment — derived from Algorithmic Roulette — that lets a board or investment committee pressure-test readiness privately, in your own browser, before a diligence conversation.
Testing a deal, a portfolio company, or your own governance?
Diligence, board diagnostics and investment-committee sessions for technology-intensive and regulated businesses.