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According to Financial News London, Bittensor-focused hedge fund DSV is seeking to raise $20 million from private investors to expand its investment strategy centered on the decentralized AI ecosystem.
Originally launched in 2024 with the goal of outperforming Bitcoin, DSV shifted its strategy toward Bittensor in 2025 as institutional interest in decentralized AI accelerated. The Bahamas-based fund allocates capital using TAO-native strategies including staking, subnet investments, and dynamic portfolio rotation. Most notably in recent memory, DSV deepened its Bittensor ecosystem focus by purchasing subnet 69 back in May.
DSV has acquired Subnet 69.
— DSV (@dsvfund) May 15, 2026
The number is funny. The opportunity is serious.
We're looking for a project to support and we'd rather wait for the right team than rush the wrong one in.
If you're building something that deserves to be on Bittensor, and want a partner ready to…
The firm reportedly chose to cap the raise at $20 million because many Bittensor subnets remain early-stage and relatively illiquid. By keeping the fund smaller, DSV aims to maintain the flexibility needed to deploy capital across emerging subnet opportunities without being constrained by market liquidity.
The news adds to a growing list of recent institutional developments surrounding the ecosystem. Over the past week alone, Kraken announced plans to list several Bittensor subnet tokens, while OKX launched TAO trading and revealed that its new AI marketplace will integrate Bittensor subnet APIs, bringing subnet intelligence into one of crypto's largest exchange ecosystems.
Bart Hillerich
Disclaimer: This article is for informational purposes only and does not constitute financial, investment, or trading advice. The information provided should not be interpreted as an endorsement of any digital asset, security, or investment strategy. Readers should conduct their own research and consult with a licensed financial professional before making any investment decisions. The publisher and its contributors are not responsible for any losses that may arise from reliance on the information presented.
