Leading European tech-focused fund manager specializing in consumer technology with a proven track record of identifying market-leading companies before institutional consensus.
Pioneering tech-native equity-research firm for enterprise technology, combining deep technical expertise with rigorous financial analysis.
Advanced financial modeling, valuation, and risk assessment to ensure disciplined investment decisions in high-growth tech opportunities.
We have unique mix of expertise essential to make successful tech investing. Unlike finance-only investors, we understand the tech deeply and don't apply shallow takes on major themes such as AI bubble. Unlike tech-only investors, we study the entire stack and business model, and don't loosen our financial rigor and discipline when it comes to overpriced crowded names.
Innovation compounds through architecture, design, and vision long before it's visible in financial metrics.
Every efficiency gain in every sector originates from software, hardware, or data.
Growth Rate + Operating Margin ≥ 40%
Equal weight to growth and profitability
We weight growth more heavily
Concentrated where innovation fuels outsized long-term returns
Our proprietary framework decodes how our view on architecture and vision translates into terminal profitability — and how it differs from the market and Wall Street.
P/E ratios, quarterly earnings beats, near-term guidance adjustments
First principles of intrinsic value drivers: forward growth curvature and terminal margin efficiency
Transformation is under-estimated, not over-valued
Proprietary screening model identifies high-volatility, under-covered tech stocks with asymmetric upside
Product, Architecture, Vision framework assesses structural advantage and durability
Market, Street, Us framework maps consensus vs. our thesis to size positions
Ergodic framework diversifies across tech value chain for sustainable compounding
Starting point for deeper analysis of asymmetric opportunities
Understanding what makes companies structurally advantaged over time
Greater divergence = larger position; capital flows to non-consensus conviction
ALL PATH Philosophy: Markets are non-ergodic. We diversify across the entire tech value chain, maintaining low correlations and blending mean reversion, high-volatility bias, and cross-path exposure to convert volatility into sustainable long-term compounding.
Amazing outperformance 2013-2021
Underperforms Dow Jones by -16.2%
We begin with 2-10 year projections for each sector's technological evolution and trajectory — integrating macro and geopolitical perspectives to anticipate structural change and how it will reshape industries.
We evaluate listed companies through the same lens a VC would use for early-stage startups, seeking enduring traits that make a business continuously exceptional:
There are no bad assets — only bad prices. Even the highest-quality companies can become unappealing when overly celebrated. Our MSU framework sizes positions to capture maximum upside where market perception still leaves room.
Derived from our DCF forecasts vs. market implied parameters
Measured through implied volatility in options markets
Rank by theoretical weight to isolate highest return per unit of risk
We re-weight growth more heavily than margin to favor sustainable compounding over near-term profitability.
This approach avoids exposure to volatility without upside while maximizing allocation to true innovation leaders.
Mitigate prolonged drawdowns during risk-off periods for growth tech without diluting performance in normal markets
High-growth companies are naturally more volatile — that volatility is the price of innovation. Rather than avoid it, we manage it responsibly through our ALL PATH risk framework, which applies ergodic principles to protect compounding returns.
Losses compound multiplicatively, so the path of returns matters as much as the average. Our approach seeks to convert volatility into sustainable growth rather than ruinous swings.
We diversify across the full AI value chain — from energy and data-center infrastructure to semiconductors, software, and AI-driven applications. Independent return paths reduce correlation, allowing our time-average returns to converge toward the smoother, more resilient ensemble outcome.
We selectively invest in higher-variance opportunities with strong fundamentals and asymmetric upside potential — not for volatility's sake, but where volatility represents underappreciated optionality rather than risk mispriced by fear.
For high-variance names, we apply mean-reversion principles across price, valuation, and factor metrics — systematically taking profits when prices overshoot fundamentals and increasing allocations where stocks have sold off despite unchanged fundamentals.
Within each major tech theme (e.g., AI, semiconductors, cloud), we dynamically adjust position sizing based on each company's true exposure, MSU profile, and market expectations. This ensures balanced participation across the same secular tailwinds while reducing concentration and valuation risk.
Venture-style alpha in liquid, scalable public markets
Chief Investment Officer
Founder of NewDeal Invest
Visionary top-down tech investor with deep expertise in identifying secular technology trends before institutional consensus.
Portfolio Manager
Co-founder of Convequity Research
Valuation & risk specialist combining rigorous financial analysis with systematic portfolio construction methodologies.
Director of Research
Co-founder of Convequity Research
Technology generalist with deep architectural insight across the AI value chain. Simon bridges engineering and investing, translating complex system design and product dynamics into high-conviction equity research.
90% US-listed equities | 10% global tech leaders
>60% US-based companies, ~40% rest of world
>50 high-conviction positions
<30% per annum
2%
20%
Quarterly (30 days notice)
Qualified Investors only