Philosophy

Disciplined theses,
probabilistic conviction.

Our foundation is process rather than any single theme. Every position rests on a written thesis that is held to evidence and updated as the facts change. We apply that discipline to a concentrated portfolio positioned to benefit from the multi-decade build-out of artificial intelligence, a build-out that spans semiconductors, software, hyperscalers, industrials, and energy & power. We size by conviction, hold through volatility, and adjust as the evidence accumulates.

Focus

Specialized growth, concentrated by design

We run a focused book of roughly 25 to 30 durable-growth companies, typically held over a one-to-three-year horizon. The concentration is deliberate. We hold fewer names by conviction instead of diversifying for its own sake, pairing larger-cap "ballast" names with higher-growth, higher-upside positions weighted according to a multipoint conviction read. Most of the book sits within our circle of competence in technology and AI-enabled businesses, and about a third diversifies beyond the AI core. The strategy is expected to be materially more volatile than the S&P 500, and clients should expect large drawdowns.

Account structure

Separately managed accounts

The Firm manages separately managed accounts. Each account is held in the client's own name at an unaffiliated qualified custodian, and the client retains ownership of the securities and cash in the account at all times. The Firm does not sponsor, advise, or manage any pooled investment vehicle, hedge fund, or private fund, and does not accept custody of client assets.

The process

How we think

Every idea moves through the same loop, from hypothesis through evidence and conviction to a review of what actually happened.

Hybrid top-down / bottom-up

We start top-down, identifying sub-sectors with compelling secular tailwinds, then work bottom-up to scrutinize the individual companies within them.

Evidence over narrative

Decisions are grounded in fundamental and technical research designed to test a thesis. It is always easy to find evidence that confirms a good story, so the research is built to look for what would break one.

Thesis-driven

Every position rests on a written thesis with explicit bull, base, and bear scenarios and a tracked set of catalysts and risks, each framed so that it can be proven wrong.

Risk management as an input

Risk shapes a decision before it is made rather than being reported afterward. Sell rules are set in advance and triggered by valuation or by a broken thesis, and cash is held as a strategic position instead of being forced into weak ideas.

Judgment, systematized

The approach is neither purely discretionary nor purely quantitative. Fundamental judgment does the deciding, and a systematic intelligence layer enforces the discipline consistently across the coverage universe.

Disciplined theses,probabilistic conviction.