Ocean Protocol's Compute-to-Data: Privacy-First AI Infrastructure

🤖 Your AI Never Sees Raw Data

By Ocean
Aug 14, 2025, 4:13 PM
twitter
News article
Photo by Ocean

Ocean Protocol introduces a paradigm shift in AI data handling by sending algorithms to data instead of moving sensitive data around.​ The system uses Compute-to-Data (C2D) technology to maintain privacy while enabling AI training on regulated datasets.​

Key features:

  • Algorithms travel to where data resides
  • Smart contracts handle job orchestration
  • On-chain access controls enforce permissions
  • Immutable audit trail tracks all operations

This architecture enables:

  • Privacy-preserving AI training
  • Regulatory compliance
  • Secure data monetization
  • Decentralized compute infrastructure
Sources

From AGI to ASI, powered by community, computation, and collaboration Join @oceanprotocol’s @trentmc0 and the @ASI_Alliance for “DeAGI & Cocktails” on May 15 in Toronto Let’s build the next wave of AI together Register here: lu.ma/hlzznmy7

Artificial Superintelligence Alliance
Artificial Superintelligence Alliance
@ASI_Alliance

DeAGI & Cocktails: A Glimpse into the Rapidly Emerging Future As the ASI Alliance, we're excited to share our vision for revolutionizing AI through decentralization. We'll showcase our groundbreaking work on MeTTaCycle—the technical backbone of our new ASI Chain. ASI Alliance

Image
1.2K
Reply

From Python scripts to DNA, data is everywhere Ocean C2D lets you train AI models on private data securely and without exposure In the age of intelligence, control over data and compute is real power Full conversation here: x.com/autonolas/stat…

Olas (formerly Autonolas)
Olas (formerly Autonolas)
@autonolas

What makes an AI agent truly autonomous? On Episode 10 of the Agents Unleashed podcast, @ThomasMaybrier speaks with @TrentMc0 co-founder of @oceanprotocol and the Artificial Superintelligence Alliance to explore what sovereignty means for AI, and why blockchain is essential for

43
Reply
Read more about Ocean

Ocean Protocol Launches SignalBoost Data Quest with $5K Prize Pool

Ocean Protocol has announced SignalBoostCurate, a new data quest running from August 11 to September 30, 2025. Participants can earn rewards from a $5,000 prize pool by curating market-moving cryptocurrency news. This initiative follows Ocean's successful quest series, including their recent collaboration with Myriad Markets that offered 15,000 points for analyzing WalletConnect's State of Onchain UX report. - Quest Period: Aug 11 - Sep 30, 2025 - Prize Pool: $5,000 - Focus: Market-moving crypto news curation

Ocean Protocol Launches Data NFTs for Scientific IP Management

Ocean Protocol introduces Data NFTs, enabling researchers to tokenize and manage scientific intellectual property on-chain. Key features: - Mint sequences, models & datasets as verifiable assets - License genes for research with datatokens - Offer API access to models - Split royalties via smart contracts - Track versions & access logs The system provides automated IP management through smart contracts, replacing traditional legal processes. All assets are timestamped, auditable, and wallet-linked for seamless compliance and publication tracking. Learn more at [Ocean Protocol Docs](https://docs.oceanprotocol.com/developers/contracts/data-nfts)

Ocean Protocol Enables Verifiable Data Provenance for AI Compliance

As AI regulation tightens globally, Ocean Protocol introduces essential tools for data provenance and compliance: - **Data NFTs** for unique dataset identification and tokenization - **Datatokens** for controlled on-chain access - **Immutable logging** of all compute jobs and data interactions - **Version tracking** for both datasets and models The system creates transparent, auditable AI pipelines that help teams meet regulatory requirements like the EU AI Act. Ocean's stack transforms black-box AI into traceable, compliant systems. Learn more at [Ocean Protocol Developer Docs](https://docs.oceanprotocol.com/developers)

The Evolution of Computing: From CPUs to Distributed Systems

Traditional computing infrastructure faces new challenges in the AI era. While CPUs excel at sequential tasks and GPUs handle parallel operations, modern AI workloads demand capabilities beyond their limits. - CPUs: Optimized for logic and operating systems - GPUs: Better for rendering and ML inference - Limitations: Cost, energy demands, hardware constraints Distributed computing offers a solution by leveraging underutilized resources from gaming GPUs to enterprise systems. This approach provides: - Improved scalability - Cost effectiveness - Energy efficiency - Decentralized architecture