Ambient health data
Continuous physiological measurement is the scarcest input in healthcare AI — it cannot be extracted from electronic records, only collected.
Perspectives
We write to think clearly. These are the themes we believe will define the next cycle in private technology — and the discipline we apply across all of them.
Forward view
Continuous physiological measurement is the scarcest input in healthcare AI — it cannot be extracted from electronic records, only collected.
Data-governance and security requirements in US healthcare, finance, and government create demand that centralized, general-purpose models are structurally unable to serve.
Power, land, and grid interconnection are the binding constraints of this cycle — not chips or models.
Across all three, our discipline is the same: right company, right price.
Writing
In preparation
Thesis
The next decade of returns in private technology will be determined less by category selection than by the price paid to enter. Capital is abundant; price discipline is not.
In preparation
Health technology
Continuous physiological measurement cannot be extracted from electronic records — it can only be collected. Why the data layer, not the model layer, is where durable value sits.
In preparation
AI infrastructure
Data-governance and security rules in US healthcare, finance, and government are creating demand that centralized, general-purpose models are structurally unable to meet — and that secure, purpose-built deployment is built for.
Full essays are in preparation. For early drafts or to discuss any of these themes, please get in touch.