Blind computing network Nillion announces partnership with NEAR Protocol: advanced privacy tools combined with high performance to further unlock innovation
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Blind computing network Nillion announces partnership with NEAR Protocol: advanced privacy tools combined with high performance to further unlock innovation
This integration will combine NEAR's high performance with Nillion's advanced privacy tools, further expanding the innovative design space for over 600 projects in the NEAR ecosystem.
Navigating Web3 tides with focused insights
We are excited to announce that Nillion has partnered with NEAR Protocol, bringing its blind computation and blind storage solutions to NEAR Protocol.
As a user-friendly Layer 1 blockchain designed for speed and scalability, NEAR Protocol will now combine its high performance with Nillion’s advanced privacy tools—expanding the innovation potential for over 600 projects in the NEAR ecosystem.
NEAR Protocol: Built for Speed and Simplicity
As a high-performance Layer 1, NEAR stands out in the blockchain landscape through three key features:
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Nightshade Sharding: NEAR's unique sharding design addresses scalability and cross-chain composability, increasing transaction throughput and reducing latency—making it ideal for high-performance applications.
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WebAssembly Runtime: NEAR’s Wasm-based VM supports smart contracts in Rust and AssemblyScript, attracting developers from diverse backgrounds.
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Human-Readable Account Identifiers: By replacing long cryptographic addresses with human-readable account names, NEAR improves usability and accessibility for users.
These features have helped NEAR attract a broad base of developers, entrepreneurs, and creators, fostering a thriving ecosystem of more than 600 applications.
Nillion x NEAR: Merging Privacy with Performance
This collaboration integrates Nillion’s blind computing capabilities with NEAR’s efficient transaction processing, unlocking new functionalities and enabling a more private, high-performance development experience:
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Modular Data Privacy: Nillion’s privacy features integrate seamlessly with NEAR, allowing modular data storage and computation on the Nillion network while settling transactions transparently on NEAR. This modularity offers developers greater architectural flexibility when building applications.
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Private Data Management: By enabling private storage and computation for various data types, Nillion expands NEAR’s functionality—broadening the scope for privacy-preserving applications within the ecosystem. Developers can now build solutions previously limited by privacy concerns, attracting privacy-conscious users.
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Privacy-Preserving AI: NEAR focuses on user-owned, sovereign AI development. Nillion’s private storage and computation empower this vision, opening vast opportunities for innovation in decentralized AI.
Unlocking Greater Innovation
This integration unlocks exciting new directions for privacy-preserving applications in the NEAR ecosystem—particularly in AI use cases. Below are some specific examples:
Private AI
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Private Inference: Nillion enables secure AI model inference, protecting both proprietary machine learning (ML) models and the privacy of users providing sensitive inputs. Initial focus includes private models such as regression, time series forecasting, and classification.
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Private Agents: With the rise of AI agents, privacy-preserving solutions are critical. Support for intent classification allows users to interact with agents without revealing details about their original queries or the actions taken by the agent.
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Federated Learning: While federated learning trains models across decentralized datasets without centralizing data, Nillion enhances privacy by securing the aggregation process—ensuring sensitive information like gradients remains confidential during training.
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Private Synthetic Data: During GAN training, Nillion protects the privacy of underlying data. Applying MPC to GAN training ensures that data used in the process is never exposed to other participants.
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Private Retrieval-Augmented Generation (RAG): Nillion offers a novel privacy-preserving approach to information retrieval, enabling quantum-safe encrypted vector storage and semantic search evaluation—without decryption.
Cross-Chain Privacy Solutions
Interoperability is a core focus for NEAR, and integrating Nillion paves the way for privacy-preserving cross-chain applications and asset transfers.
Privacy-First Community Platforms
Decentralized communities benefit from content and social graphs stored privately on Nillion. These privacy-preserving datasets enable personalized content recommendations while combining the advantages of decentralized social networks with strong privacy protection. Additionally, this solution supports anonymous voting, private proposal submissions, and secure financial management.
Secure Decentralized Finance (DeFi)
Nillion’s “blind computation” enables private order books, confidential lending assessments, and hidden liquidity pools—enhancing the security and privacy of NEAR’s growing DeFi ecosystem.
Privacy-Centric Developer Tools
Nillion’s “blind computation” empowers developers with privacy-focused tools and APIs, making it easy to integrate advanced privacy features into their applications—without sacrificing NEAR’s usability and scalability—further strengthening NEAR’s developer-friendly environment.
Recently, NEAR co-founder Illia Polosukhin appeared on the Blockworks podcast, discussing the integration between NEAR and Nillion and its wide-ranging benefits. Interested readers are encouraged to click the link below to listen to the full episode:
[NEAR Co-Founder Discusses NEAR and Nillion Integration on Podcast]
Exploring the Future of Blind Computation with NEAR
By combining NEAR’s high-performance infrastructure with Nillion’s cutting-edge privacy capabilities, we’re creating a more accessible and innovative environment where developers can easily build powerful privacy-preserving applications and scale them according to real-world needs.
We’re thrilled to join forces with NEAR in building a new open digital economy—one where individuals truly own their assets and data.
To learn more about NEAR Protocol, visit their website or follow them on X (Twitter).
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