Finance speaks a thousand languages.

Every market data provider formats corporate actions differently. Every custodian speaks a different dialect. Something as simple as receiving a dividend (ten shares of one company) might involve five custodians, six venues, three providers of corporate actions and ten investors across five different share classes, each with different tax obligations.

"Something that sounds incredibly trivial turns into this web of really complicated translation problems."

Thomas McHugh spent fifteen years inside that problem. Network engineering at Morgan Stanley, Monte Carlo engines for complex derivatives, running quant development and front office risk at RBS through and after 2008. 

He co-founded FINBOURNE to solve it: one platform that speaks every language finance has invented, across every asset class. It raised one of the largest Series B rounds in UK fintech history.

In this episode of The Modern Capital Podcast, Thomas and Marc cover:

• Why a single trade record has five different dates and how one record replaces five systems
• Why blockchain can't solve books and records: it only moves forward, can't restate history and everyone wants it private anyway
• The three layers of the AI stack in finance: why the UI layer is dead, who wins orchestration and where the real moat lives
• Why 60-80% of AI proof of concepts never reach production - and the permissions gap nobody is solving
• The SaaSpocalypse: why single-feature vertical SaaS is at genuine risk and what survives it

Get the translation layer right and AI works. Get it wrong and the proof of concept never reaches production. Thomas has spent a decade building the former.