AI valuation model
Multi-factor modelling of length, extension, character structure, historical transactions and end-user demand, based on live data from global trading platforms, producing a valuation range.
Strategy
A disciplined allocation framework and a data-driven pricing system
An overall allocation of 70% domain assets and 30% equity in domain companies, controlling risk through concentration discipline and securing realisable value through end-buyer-oriented exits.
Asset allocation
Overall allocation: 70% domain assets + 30% equity in domain companies
Domain assets form the core holding, providing scarcity and capital preservation. Equity in domain companies captures industry growth and improves the portfolio's liquidity and return elasticity.
| Category | Share | Role and rationale |
|---|---|---|
| Short .com domains | 40% | Core holding. Only 676 two-letter .com and 100 two-digit .com domains exist worldwide — the highest scarcity and the strongest record of preserving and growing value. |
| Short .ai domains | 25% | Growth engine. End-user demand has surged with the AI wave; .ai domain transaction volume grew 270% quarter on quarter in Q2 2026, and AI.com sold for US$70 million. |
| Blockchain / crypto domains | 20% | Gateway to crypto traffic. Serving exchange clients such as Huobi and OKX, with multiple eight-figure transactions validating liquidity in this segment. |
| Premium dictionary domains | 15% | End-buyer oriented. Matched to the branding needs of leading companies across sectors, targeting premium exits. |
30% equity in domain companies
Investment in quality companies across the domain value chain (registrars, marketplaces, brokerage services, valuation data services and others), capturing industry growth and gaining an information advantage along the chain.
Risk discipline
- No single domain above 10% of the portfolio
- No single sector above 30% of the portfolio
Decision framework
An AI-driven decision system
Moving domain pricing from experience-based judgement to verifiable data. The model produces a valuation range; people make the final decision and own the risk judgement.
Market monitoring
Continuous monitoring of domain market activity, industry trends and shifts in end-user demand to identify mispricing and windows of opportunity.
Investment process
Data collection → AI valuation → human review → investment decision → post-investment management, fully documented and traceable.
Risk management module
Automatic alerts on pricing anomalies, liquidity risk and concentration risk. Breaching a threshold routes the case into human review.
- Data collection
- AI valuation
- Human review
- Investment decision
- Post-investment management
Realisation
An end-buyer-oriented approach to realising value
A potential end buyer is identified at the point of purchase, so every holding has a clear direction for realisation — avoiding the trap of buying in but never selling out.
Multiple routes to realisation
- Sale through domain trading platforms
- Brokerage team matching with end buyers
- International auctions with open bidding
- Domain-backed financing and other liquidity arrangements
Approaching buyers, not waiting for them
- The profile and range of potential end buyers is defined at the point of purchase
- The brokerage team approaches buyers directly, shortening the time each asset is held
- Speed is never bought by sacrificing price
- Specific arrangements are agreed case by case and set out in the fund documents
Risk warning: Fund investment involves risk. Past performance is not indicative of future results. Realising domain assets may take longer than expected, secondary-market liquidity may fall materially in extreme conditions, and investors may lose all or part of their principal.