Thesis
We invest where intelligence changes the equation.
Not a list of buzzwords. A set of arguments we are willing to be judged against, and the areas where we are actively building.
- 01
Intelligence was the binding constraint
Organizations have always been shaped by the cost of thinking, coordinating and deciding. Hierarchies, headcount, departments and software seats are all artifacts of that cost. When the cost falls sharply, the shapes change.
- 02
Adding AI to old software is a small idea
Most incumbent products will add assistants to interfaces designed for human data entry. That improves an old workflow. It does not redesign the work. The larger opportunity is companies whose entire operating model assumes reasoning is cheap.
- 03
Value migrates from access to outcomes
If software performs work rather than organizing it, customers will pay for results. That changes pricing, go-to-market, margin structure and what a defensible business looks like.
- 04
The scarce inputs are judgment and distribution
Building has become cheaper; knowing what deserves to be built and getting it into serious hands has not. We concentrate our own effort there.
- 05
Trust becomes infrastructure
As systems act with more autonomy, memory, evaluation, security and traceability stop being features and become the substrate. This is itself an investable category.
The next generation of great companies will not simply use AI. They will be possible because of AI.
Organizational Intelligence
AI systems that understand organizations and improve decisions.
Future of Work
AI that performs, coordinates, augments, or transforms knowledge work.
Human Potential
Technology that makes individuals healthier, wiser, more capable, and more intentional.
Physical Intelligence
AI connected to commerce, logistics, retail, robotics and the physical world.
AI-Native Services
Industries where software increasingly performs the work instead of merely organizing it.
Intelligence Infrastructure
Security, memory, data, evaluation, orchestration, trust and infrastructure required for increasingly autonomous systems.
Human potential investments focus on capability, learning and intentionality. We do not make medical claims.
How we evaluate
Four questions we ask before anything gets built.
Is the problem enormous?
Scarcity of intelligence, coordination or expertise that costs an industry real money every day.
Does AI make a new answer possible?
Not faster. Structurally different from what was possible three years ago.
Can we prove demand quickly?
A path to evidence in weeks, with named customers willing to engage.
Can a small exceptional team win?
Leverage over headcount, with a durable advantage as the product compounds.
The future isn't something
we wait for.
We build it.