01
What drives earnings?
Reconcile orders and reported revenue with capacity, delivery dates, and customer spending. Identify which assumptions carry the earnings estimate.
AI-focused. Fundamental long / short.
Investing in the
foundations of AI.
Hyperleap Capital studies the companies supplying and adopting artificial intelligence. Our investment focus spans semiconductors, electricity infrastructure, and enterprise software.
01 / Approach
How we evaluate an investment.
The starting point is a company, its customers, and the price of its securities. Our research follows three questions.
02
What does the price assume?
Build a range for sales, margins, and reinvestment needs. Compare those outcomes with the valuation and the expectations it requires.
03
What would change our view?
Record the evidence that would weaken the case. Consider liquidity and shared exposures when sizing a position, then revisit the assumptions as results arrive.
02 / Strategies
Our areas of research.
We follow the path from equipment orders to deployed capacity and, ultimately, the customer paying to use it.
01
Compute
Semiconductors, memory, packaging, and networking. Research centres on product cycles, customer concentration, and the cost of adding capacity.
02
Power & Buildout
Generation, grid equipment, and data centres. We examine delivery schedules, project funding, and the difference between contracted and usable capacity.
03
Enterprise software
Software vendors and their customers. We look at paid usage, renewal behaviour, and how inference and support costs affect margins.
04
Private markets
Emerging suppliers and business models. Financing terms, customer adoption, and cash requirements provide context for changes in the public markets.
03 / Insights
Research notes.
A closer look at the numbers and definitions behind the AI buildout.
Reading the memory specifications.
Capacity, bandwidth, and workload: three different questions when assessing AI infrastructure.
Read the noteFrom announced megawatts to usable power.
Why national electricity-demand estimates cannot establish a data centre’s energisation date.
Read the noteWhat is the customer paying for?
Seats, actions, and completed work create different revenue and cost exposures for software vendors.
Read the note04 / Firm
Hyperleap Capital
Our focus is fundamental long/short investing in the AI economy. Industry research informs company analysis; portfolio construction considers how those companies share customers, suppliers, and sources of risk.
Meet the team →For investors and research contacts
For strategy materials, due-diligence questions, or a conversation about our research, contact the team directly.
hello@hyperleapcapital.com05 / Team
Meet the team.
Meet the people covering investments, research, and investor relations.
Founding Partner & CIO
Investment direction, portfolio construction, and capital allocation across the AI value chain.
Partner, Head of Research
Company and supply-chain research, connecting demand expectations with physical capacity.
Partner, Portfolio Construction & Risk
Position sizing, liquidity, hedging, and the interaction of risks across the portfolio.
COO & Chief Compliance Officer
Operational processes, service-provider coordination, and reporting controls.
Senior Analyst, Semiconductors
Research on logic, memory, packaging, and the equipment that supports capacity growth.
Senior Analyst, Power & Grid
Research on generation, transmission, cooling, and data-centre power requirements.
Data Scientist
Data sourcing, validation, and reproducible analysis for industry research.
Head of Investor Relations
Investor inquiries, research communication, and coordination of due-diligence requests.
06 / Contact
Investor relations
For questions about our investment approach or research, please contact Investor Relations using the form below.
Prefer email? Write to hello@hyperleapcapital.com