Insights
From the intersection of capital and the frontier.
Thinking on technology as a capital allocation problem. The library opens with the Playbook. Independent articles and evidence notes will follow as engagements complete their measurement cycles.
Access to AI is not the advantage
Every fund can buy the same models. The alpha is in knowing where to apply them, and how to prove the value they create.
From the PlaybookWhy AI initiatives die between the deck and the deployment
What separates the pilots that scale from the ones that stall: baselines, real workflows, and reliability engineered from day one.
From the PlaybookThe evidence chain: attributing EBITDA to technology
How to connect system performance to operational change to financial impact, and defend it in front of an IC, an LP or a buyer.
From the PlaybookWhat works once, works many times
How evidence, codified interventions and portfolio learning compound across a fund: the BUSAC Multiplier.
Inside Value LabNot all “value” is equal: the V1–V4 taxonomy
Potential, modelled, observed, verified. Why capital should scale on V3–V4 and never on a model’s promise.
Disagree with any of it? Good.
Bring the counter-hypothesis. We’ll design the test.