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Sectors

Artificial Intelligence.

The firm's AI coverage runs from applications through data to compute infrastructure, underwritten on a single conviction: capability is converging and margin is migrating to the orchestration and delivery layer — the businesses that stand behind completed work rather than resell model access.

GDA is itself AI-enabled in its own operations, which functions as diligence: the firm prices what these systems actually do, not what their decks claim.

Disclosed positions in this sector

Private Equity

Alpaca Network — Decentralized laboratory advancing AGI models and distributed compute.

Private Equity

Raiinmaker — Decentralized AI training network powered by verified human contribution.

Private Equity

HyperCycle — Network infrastructure for machine-to-machine AI transactions.

Private Equity

SingularityNET — Decentralized AI marketplace running on blockchain.

Private Equity

Edgein — Web3 business data and knowledge platform.

Private Equity

Fetch.ai — Decentralized machine-learning network where autonomous agents perform economic work.

From GDA Research

The Disruption Premium

What happens to a multiple when an incumbent builds a technology business — October 2024.

Agent-as-a-Service

The operating model that replaces seat licences in enterprise AI — March 2025.

Engineering delivery

Where a artificial intelligence mandate needs build work — systems, integration, tokenization engineering — the bank’s engineering practice covers this sector: MLG Blockchain — AI transformation.

A artificial intelligence mandate to discuss?

Contact the firm

The other coverage sectors

TechnologyDigital Assets & TokenizationFinancial Services & FintechConsumer & RetailMedia, Gaming & EntertainmentHealthcare & Life SciencesEnergy & Real AssetsIndustrials & Supply ChainAll businessesPortfolio

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The desk note worth forwarding.

The Digital Asset Digest and the firm’s research — market structure, transactions, and the theses behind the firm’s positions. Sent when there is something worth reading, and not otherwise.

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