The companies that will define this cycle, still private.
Some of the companies that will define this cycle are still private, SpaceX, Anthropic, and a handful of others at the center of AI, energy, and frontier technology. They're years from a public listing, and they're some of the most consequential businesses being built today.
- We surface growth-stage companies through our angel activity and our LP relationships, the same network described under Angel investments and Fund of funds.
- We do our own research on every name, applying the same process we use for public equities.
- Where we have both conviction and access, we invest.
Well-known growth-stage companies, included to illustrate the kind of business we research.
This list is illustrative, it does not represent current holdings, available allocation, or guaranteed access to any company.
User: confirm which names to show publicly, and replace or trim to match what MM actually researches and follows.
- 01
SpaceX
The default infrastructure layer for getting mass to orbit. Starlink turns that launch advantage into a recurring, global connectivity business with few credible competitors, a rare case of a frontier-technology company with both a hardware moat and a compounding subscription model.
- 02
Anthropic
A frontier AI lab competing at the model layer with a differentiated safety-first posture that increasingly matters to enterprise buyers. Exposure to the core of the AI cycle, with revenue scaling faster than almost any company in history.
- 03
OpenAI
The company that brought AI to mainstream adoption and still sets the pace at the application and model layers. A bet on the category leader continuing to convert research lead into consumer and enterprise distribution.
- 04
Anduril
Defense technology built like a software company, autonomous systems and a common operating platform, sold into a buyer (the U.S. and allied militaries) that is re-tooling for a new era.
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- 05
Databricks
The data-and-AI platform enterprises standardize on to run their own models. Picks-and-shovels exposure to every company that needs to put its proprietary data to work.