The Nasdaq-listed shipping company OceanPal Inc. is launching a new subsidiary called SovereignAI (SVRN) with the aim of commercializing the NEAR Protocol token $NEAR and developing AI infrastructure.
SovereignAI was formed to implement a NEAR digital asset treasury (DAT) strategy which will fund the development of confidential AI infrastructure powered by NEAR.
We’re SovereignAI, a wholly owned subsidiary of OceanPal created to be a leading publicly traded investment vehicle for both digital asset & AI infrastructure exposure…
SVRN is backed by a $120M private investment in public equity (PIPE) deal. The subsidiary will build confidential AI cloud services on the NEAR Protocol blockchain and aims ultimately to acquire up to 10% of NEAR’s total token supply.
“We believe NEAR presents the greatest asymmetric upside across mature projects in the digital asset market, which we aim to capture and offer to our shareholders,” OceanPal's Co-CEO, Sal Ternullo, said.
NEAR Protocol's Cameron Dennis provided more context about the deal:
“I'm excited for the first NEAR Protocol publicly traded vehicle that accumulates $NEAR to finance GPUs that power NEAR AI Cloud. Profits from AI inference and training is then used burn $NEAR, creating a positive flywheel for the ecosystem”.
The move indicates OceanPal’s strategy “goes beyond treasury management to actively build privacy-preserving AI at scale.”
The move is backed by investors including Kraken and Fabric Ventures, and OceanPal's shipping business will continue to operate separately.
The investment appetite for decentralized AI network Bittensor does not stop growing. Deutsche Digital Assets (DDA) together with Safello plan to launch an exchange-traded product (ETP) on the SIX Swiss Exchange that gives investors regulated access to the crypto token $TAO, native Bittensor / Opentensor Foundation.
The ETP is called the Safello Bittensor Staked TAO ETP (ticker “STAO”) and will be physically backed by $TAO tokens held in cold storage. Returns to investors include both $TAO price movements and staking rewards, which are automatically reinvested. The listing is scheduled to begin in the coming weeks.
The move reflects growing interest in bridging decentralized AI projects and investment products.
The exchange-traded product offers investors regulated access to Bittensor's TAO token with staking rewards and full physical backing.
Telegram Messenger founder Pavel Durov announced Cocoon (Confidential Compute Open Network), a decentralized AI‑inference network built on TON Foundation. The network allows developers to pay for AI compute with the $TON token, while GPU owners contribute their hardware and earn $TON in return.
A key feature is privacy: Cocoon is designed so that AI tasks and data are processed in a decentralized, confidential manner, limiting the role of centralized providers and enhancing user control over data. The initiative is positioned as part of a broader push for digital freedom and data sovereignty, with Durov emphasizing that centralization threatens those goals.
Telegram itself is set to be the first large‑scale customer of Cocoon, leveraging its large user base to bootstrap usage and infrastructure.
Telegram unveils Cocoon on TON, a decentralized AI network linking developers and GPU providers for private, tokenized AI computation.
For the past week, the crypto space has been so hyped up about x402, that literally everyone on Crypto Twitter was talking about it. So, as promised, I went really deep and investigated the entire story behind it.
x402 is Coinbase's payment protocol, powering humans and AI agents alike to autonomously transact. Over the last couple of weeks, the volume exchanged through it grew by nearly 6,000%, supercharged by an impressive ecosystem growth and meme- and agent coins launching via x402. Check out my article on Paragraph to learn more.
The Web3 + AI Inquiry digs into the burning questions steering dAI and the open machine economy. Today, we're asking: what's all the buzz about x402?
We've been yapping a lot about agent-to-agent payments this past week, but agents' ability to exchange value autonomously is just one step towards achieving a true machine economy. Another rather important one is establishing trust in agents' actions, and EigenCloud offers a solution.
The case study below showcases how Eliza Labs, a leading open-source AI agent framework (17k+ GitHub stars, 50k+ agents), integrated with EigenCloud to prove its AI agents executed the correct code and model weights.
Traditional cloud environments offer scalability but no cryptographic verification, creating a critical trust gap for agents managing real assets or executing trades. EigenCloud, leveraging EigenAI (for deterministic, verifiable LLM inference) and EigenCompute (for trusted, cryptographically provable execution), ensures agents run unmodified code, produce genuine outputs, and can be audited cryptographically.
As a result, Eliza's agents transformed from “trust-based” to cryptographically provable systems, bridging AI autonomy with on-chain accountability and establishing a blueprint for any developer building AI agents that manage capital or make consequential decisions.
Thank you for reading! The next edition is coming tomorrow.
I invite you to subscribe to The Web3 + AI Newsletter to stay in the loop on the hottest dAI developments.
I'm looking forward to connecting with fellow Crypto x AI enthusiasts, so don't hesitate to reach out to me on social media.
Disclaimer: None of this should or could be considered financial advice. You should not take my words for granted, rather, do your own research (DYOR) and share your thoughts to create a fruitful discussion.
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