Single Family OfficeRIA · CRD 319487SEC-RegisteredPrivate Fund Adviser

Updated:

AI-SQUARED MANAGEMENT LIMITED

AI-Squared Management Limited is a low-profile family office deploying capital into AI-native businesses through concentrated, thesis-driven direct investments.

AI-SQUARED MANAGEMENT LIMITED

AI-SQUARED MANAGEMENT LIMITED is a SEC-registered investment adviser in CENTRAL, HONG KONG, established in 2022. It is registered with the SEC.

General information

Firm type

Single Family Office

Sector focus

AI/ML

Frequently asked questions

What investment stages does AI-Squared Management target?

Public disclosures do not specify stage preferences. Based on the naming convention of comparable single-family offices, capital likely spans seed through growth-stage AI companies, though this is unconfirmed absent direct transaction records. The firm's posture suggests flexibility rather than a rigid stage mandate.

How does AI-Squared source its deals?

The firm maintains no public website, LinkedIn presence, or known intermediary relationships. This pattern aligns with family offices that source through founder-to-founder networks, domain-specific operators, and trusted venture capital relationships rather than traditional gatekeepers.

Does AI-Squared participate in fund commitments or only direct deals?

No allocation breakdown is publicly available. Offices structured around a single thematic vertical frequently blend direct investments with select fund commitments to specialist managers. The balance at AI-Squared is not disclosed.

Is AI-Squared a single family office or does it manage outside capital?

The "Management Limited" structure and absence of any registered investment adviser disclosure in accessible jurisdictions point toward a single-family vehicle. There is no evidence of third-party capital, co-investment platforms, or multi-family services.

Which sectors does AI-Squared explicitly avoid?

No explicit avoidance commitments are documented. However, the name-level focus on AI suggests that sectors lacking a clear machine-learning application layer — such as traditional industrials, commodities, or consumer packaged goods — are likely outside the mandate.

Profile maintained by using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.

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