Autonomys x Rivalz: Enhancing AI Data Availability, Verifiability & Privacy
Autonomys is pleased to announce a strategic partnership with Rivalz focused on building infrastructure that ensures on-chain AI agents have access to high-quality, verified data. Alongside privacy-preserving technologies, we believe that this is key to enabling the next generation of autonomous systems.
Key Aspects of the Partnership
- Data Availability & Verifiability: Autonomys’ high-throughput data availability layer will complement Rivalz’s Agentic Data Coordination System (ADCS) — a specialized data oracle layer optimized to allow AI to retrieve and utilize data in real-time — and enable a robust hybrid data availability ecosystem. Rivalz’ decentralized data provenance protocol for proving the accuracy, origin and immutability of AI data will also support Autonomys in providing end-to-end AI verifiability from training to agent interaction when used in combination with Auto ID — Autonomys’ self-sovereign identity infrastructure for both humans and agents.
- Advanced Privacy & Computation: Rivalz supports privacy-preserving, scalable data processing with AI-grade latency using decentralized confidential compute (DeCC) and distributed storage secured via Fully Homomorphic Encryption (FHE). Rivalz partnering with Autonomys enhances our decoupled execution (DecEx) domains and distributed storage network (DSN) with FHE-secured privacy, enabling use-cases including secure data monetization, private AI model training, and personal on-chain agents.
- Node Cross-Pollination: Community members running storage (farmer) nodes, and validator (operator) nodes once Autonomys Mainnet Phase-2 launches, on Autonomys and Rivalz can explore contributing storage space and compute capacity to both decentralized physical infrastructure networks (DePIN).
“We are thrilled to collaborate with Autonomys to drive forward the infrastructure needed for on-chain AI agents. By combining Rivalz’s decentralized data provenance and resource orchestration technologies with Autonomys’ high-throughput data availability layer, we’re enabling secure, scalable, and verifiable AI systems. This partnership represents a pivotal step in creating the foundation for autonomous AI ecosystems.” Matias Guillermo Papaleo Cha, CBDO at Rivalz
“We’re excited to partner with Rivalz to build infrastructure that ensures on-chain AI agents can access verified, real-time data securely. Together, we’re combining Autonomys’ data availability layer with Rivalz’s advanced data provenance and privacy technologies to enable trusted, scalable, and privacy-preserving AI systems for the future.” Parth Birla, Head of Partnerships at Autonomys
About Rivalz
Rivalz is the world abstraction layer for the agentic economy, comprising five core modules: OCY DePIN, a scalable, secure data management network with blind compute; ADCS, a real-time decentralized data oracle and coordination layer; NOSTRINGS, an identity, wallet and agent resource mapping and allocation module; ROME, a compute, storage and bandwidth tokenization, orchestration, and marketplace protocol; and VORD, a no-code platform for building and publishing AI dApps and on-chain agents.
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About Autonomys
The Autonomys Network — the foundation layer for AI3.0 — is a hyper-scalable decentralized AI (deAI) infrastructure stack encompassing high-throughput permanent distributed storage, data availability and access, and modular execution. Our deAI ecosystem provides all the essential components to build and deploy secure super dApps (AI-powered dApps) and on-chain agents, equipping them with advanced AI capabilities for dynamic and autonomous functionality.
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Autonomys x Secret Network: Powering Privacy-Preserving Super dApps & Agents
Autonomys is pleased to announce a strategic partnership with Secret Network to bring decentralized confidential computing (DeCC) to the Autonomys Network, enabling developers to build powerful privacy-preserving AI-powered dApps (super dApps) and on-chain agents.
Key Aspects of the Partnership
- DeCC: Using Trusted Execution Environment (TEE) technology, Secret’s DeCC layer ensures all inputs, outputs and model states remain private but auditable, allowing developers to build confidential super dApps at superior speed, cost and efficiency compared to other confidential computing networks. Autonomys’ Auto SDK makes interacting with our network infrastructure for dApp development — including distributed storage, decentralized consensus, and soon, decoupled execution environments and a self-sovereign identity framework — easy. Developers benefit from the interoperability of both WASM and EVM execution environments with Secret Network’s smart contracts and Autonomys’ decoupled execution domains, but we are nonetheless exploring a direct Layer-1 connection for greater efficiency. Combined with Secret’s DeCC layer, Auto SDK makes confidential super dApp development accessible.
- Private AI Models: Connecting Claive — Secret Network’s enterprise-grade DeCC GPU infrastructure — to Autonomys’ distributed storage network (DSN) and upcoming domain layer of decoupled execution environments will allow developers to train privacy-preserving AI models with encrypted data directly on the Autonomys Network. This opens up new frontiers for developing super dApps and on-chain agents with advanced capabilities.
- Confidential Agents: Through cross-chain communication Claive, AI3.0 developers can build, deploy and scale on-chain agents on Autonomys — all while maintaining end-to-end confidentiality — unlocking powerful new agent use-cases. Autonomys’ robust AI infrastructure allows for unparalleled throughput and execution, while Secret ensures users’ data privacy is built-in from day one.
“At Secret Network, we are committed to driving the future of privacy-preserving technology, and our partnership with Autonomys represents a pivotal step toward that vision. By merging Secret’s Decentralized Confidential Computing with Autonomys’ advanced AI infrastructure, we are unlocking a new era for on-chain AI. This collaboration will empower developers to create autonomous, confidential AI applications that prioritize user privacy while enhancing functionality and scalability. With Claive as the catalyst, we are setting the stage for a future where AI-driven dApps are not only more powerful but also more privacy-centric.” Lisa Loud, Executive Director of Secret Foundation
“Secret Network bringing confidentiality to the Autonomys Network is pivotal to our construction of the AI3.0 ecosystem. Secret’s privacy-preserving technology will soon enable web3 developers and normal users alike to build private, personal on-chain agents that run unstoppably on decentralized architecture.” Parth Birla, Head of Partnerships at Autonomys
About Secret Network
Secret Network is the first Layer-1 blockchain with privacy-preserving Turing-complete smart contracts. Using Trusted Execution Environments (TEE), it enables developers to build dApps that are encrypted by default, while also offering selective disclosure tools such as viewing keys and permit technology for compliance and auditability. Secret Network’s confidential computing layer is interoperable with 130+ blockchain networks, including Cosmos, Ethereum and Solana.
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Unlock AI3.0: Run RAG & Private Compute on Autonomy’s Permanent DSN
Today we are pleased to release our proof-of-concept demo showcasing the practical application of Autonomys Network’s decentralized triple-stack solution — Permanent Data Storage Network (DSN), Data Access, and Private Compute. The demonstration focuses on an agent running in a Trusted Execution Environment (TEE), leveraging Retrieval-Augmented Generation (RAG) from securely stored data. By providing a secure and efficient framework for privacy-preserving AI deployment, this demo highlights how developers can utilize Autonomys to build scalable, customizable, and human-centric super dApps. As we walk through each section, we will not only provide the timestamps for easy video referencing, but our insights on why it matters.
Introduction (0:00–0:41)
What You’ll See:
This segment introduces the demo, focusing on an agent running securely using a TEE with NVIDIA H100 GPUs. It exemplifies a confidential RAG workflow that prioritizes data privacy.
Why It Matters:
Secure computation through a TEE establishes trust by ensuring sensitive operations are isolated from external interference, enabling privacy-preserving AI development.
Technology Overview (0:41–1:56)

What You’ll See:
Explore the integration of large language models (LLMs), RAG, and vector databases within the secure confines of a TEE. The section highlights the flexibility of deploying these systems locally, in hybrid configurations, or through end-to-end secure setups.
Why It Matters:
This integration provides the foundation for scalable, adaptable AI systems capable of maintaining privacy and security across diverse deployment scenarios.
Core System Configuration (1:57–2:24)

What You’ll See:
The system uses Llama (11 billion parameters), Chroma as the vector database, and open-source embedding from Hugging Face for robust data processing.
Why It Matters:
Open-source tools combined with advanced models democratize access to AI, fostering innovation while reducing reliance on closed, centralized ecosystems.
Attestation and Security Verification (2:25–4:07)

What You’ll See:
This section validates the security of computations through TEE attestation, using verifiable signatures, nonces, and JWT tokens to confirm the integrity of the hardware environment.
Why It Matters:
TEE attestation ensures that computations occur in a private, verified, and tamper-proof environment, a critical component for trust in decentralized AI systems.
Data Encryption and Privacy Workflow (4:08–5:22)

What You’ll See:
Data uploaded to the DSN is encrypted using the TEE’s public key. Decryption occurs within the TEE itself, ensuring that even the system operator cannot access the raw data.
Why It Matters:
This workflow highlights a breakthrough in user-centric privacy, ensuring that sensitive information remains confidential throughout the AI pipeline.
Practical Demonstration: File Upload and Querying (5:23–8:07)

What You’ll See:
This section showcases the upload of a thesis file to the DSN, processed by the TEE, enabling the LLM to answer context-aware queries based on the document.
Why It Matters:
This use case illustrates real-world applications of AI-powered knowledge retrieval while maintaining the highest standards of data security and user privacy.
Web Search and Vector Database Integration (8:08–9:23)

What You’ll See:
Integrated web search results are processed into the vector database, enhancing the contextual depth of the AI system’s understanding and responses.
Why It Matters:
This capability demonstrates how decentralized AI systems can incorporate external data sources for improved functionality without compromising security.
Backup and Encryption Features (9:24–9:57)

What You’ll See:
The vector database’s backup options include encryption and password protection, further securing stored information.
Why It Matters:
Secure backup mechanisms protect against data loss while ensuring continued compliance with privacy standards.
Conclusion
Thank you for exploring our proof-of-concept demo showcasing the capabilities of Autonomys’ Permanent DSN, Data Access, and Private Compute in delivering secure, efficient, and decentralized AI solutions. It is a practical exploration of how privacy, scalability, and accessibility can coexist to support human-centric decentralized AI (deAI) and super dApps.
Are you a founder or builder interested in learning more about how Autonomys Network can support your decentralized solution?
Autonomys x SEA DePIN: Spreading AI3.0 to Southeast Asia
Autonomys is excited to announce a collaborative partnership with SEA DePIN to produce informative and educational content about the Autonomys Network tailored to a Southeast Asian (SEA) regional audience.
Key Aspects of the Partnership
- Autonomys Profile: Autonomys will maintain a dedicated project profile on SEA DePIN’s recently launched decentralized physical infrastructure (DePIN) Knowledge Hub database that currently features project, technical and use-case explainers, node setup instructions, and links to documentation on our vision, technology and tokenomics. In the future, this profile will highlight our co-authored reports and guides, interviews, and any shared community events and campaigns.
- Farming How-To Guide: SEA DePIN is producing a comprehensive guide for Southeast Asian users seeking to deploy a farmer node on the Autonomys Network. This guide will include an overview of our lightweight farmer node-running software Space Acres and its significance within DePIN, as well as step-by-step setup instructions with screenshots, and best practices for optimizing performance, troubleshooting for common issues, and FAQs with solutions. The Autonomys community already maintains more than 50 farmer nodes on mainnet across Southeast Asia, spanning from Thailand, Laos and Vietnam to Malaysia, Indonesia and the Philippines. Our partnership with SEA DePIN will enable us to expand our reach significantly and increase our node count in the region.

- AI3.0 Research Insights: Together, Autonomys and SEA DePIN are co-authoring analytical content exploring emerging topics in deAI and DePIN innovation, supported by data-backed insights from Autonomys’ Head of Research and Professor at the University of British Columbia (UBC) Chen Feng on Autonomys’ role in the SEA region.
“Partnering with Autonomys strengthens our mission to drive DePIN innovation in SEA. Their hyper-scalable deAI infrastructure unlocks new opportunities for AI-powered dApps and autonomous systems.” Jackie Th, Co-Founder of SEA DePIN
“Our partnership with SEA DePIN will enable Autonomys to further develop its growing network of Southeast Asia-based farmers, as well as bringing our innovative AI3.0 infrastructure stack and ecosystem to the region’s community of developers and users.” Jim Counter, Head of Community at Autonomys
About SEA DePIN
SEA DePIN is the premier media platform in Southeast Asia for DePIN projects, dedicated to empowering the region’s community and promoting the growth of DePIN, deAI and web3 through education and active engagement. SEA DePIN provides a comprehensive DePIN Knowledge Hub, featuring original research, practical case studies, expert guides, and in-depth reports, and organizes events for community members and industry leaders in the SEA region.
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About Autonomys
The Autonomys Network — the foundation layer for AI3.0 — is a hyper-scalable decentralized AI (deAI) infrastructure stack encompassing high-throughput permanent distributed storage, data availability and access, and modular execution. Our deAI ecosystem provides all the essential components to build and deploy secure super dApps (AI-powered dApps) and on-chain agents, equipping them with advanced AI capabilities for dynamic and autonomous functionality.
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Autonomys x FoxWallet: Advancing AI3.0 Accessibility
Autonomys is pleased to announce a strategic integration with FoxWallet, a leading multi-chain web3 wallet. This partnership will enhance Autonomys’ accessibility for developers and users, and create a seamless gateway for both to interact with AI-powered decentralized applications (super dApps), driving adoption of the AI3.0 Ecosystem.
Key Aspects of the Partnership
- Nova EVM Domain Chain: FoxWallet is currently integrating its multi-chain wallet with Autonomys’ Nova EVM domain chain (launching Q1 2025). This will enable users and developers to easily access Autonomys’ ecosystem of super dApps and agents.
- Consensus Chain: Autonomys is in conversations with FoxWallet to integrate with Autonomys’ consensus chain currently live on mainnet. Stay tuned for more news!
- User Onboarding: FoxWallet has already onboarded more than a million users to web3 with its user-friendly, self-custody wallet. The Autonomys Network’s integration with FoxWallet will bring these users to the AI3.0 Ecosystem, and their liquidity to $AI3, accelerating the deployment of our vision for decentralized, human-centric AI.
“Reflecting our commitment to web3 innovation, our integration with the Autonomys Network will enhance FoxWallet’s functionality, and drive adoption of AI-powered decentralized applications. Together, we are working to empower web3 users with innovative tools that will shape the future of blockchain-AI convergence.” Natalie Y., CBDO at FoxWallet
“This collaboration with FoxWallet represents a pivotal step in making decentralized AI accessible to everyone. By integrating with a trusted and widely adopted multi-chain wallet, we’re creating seamless entry points into the AI3.0 Ecosystem for developers and users alike. As Autonomys continues to grow, collaborations like this will be essential in bridging the gap between blockchain innovation and AI adoption.” Todd Ruoff, CEO of Autonomys
About FoxWallet
FoxWallet is a user-friendly, self-custody web3 wallet enabling 1 million+ users to securely manage their digital assets, and access a wide range of dApps across 100+ blockchains, including Bitcoin, Ethereum and Solana, and several storage-based networks. FoxWallet encrypts private keys locally on users’ devices to prevent unauthorized access and potential data breaches, and offers comprehensive support for NFTs and the ERC20 standard.
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About Autonomys
The Autonomys Network — the foundation layer for AI3.0 — is a hyper-scalable decentralized AI (deAI) infrastructure stack encompassing high-throughput permanent distributed storage, data availability and access, and modular execution. Our deAI ecosystem provides all the essential components to build and deploy secure super dApps (AI-powered dApps) and on-chain agents, equipping them with advanced AI capabilities for dynamic and autonomous functionality.
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Announcing Autonomys’ New On-Demand Ambassador Onboarding
Calling all aspiring Ambassadors! The Subspace Foundation is excited to announce the Autonomys Ambassador Program is shifting to an open, skills-based application process tailored to the needs of the project. Apply to join our global community of Autonaut Ambassadors, ascend the ranks through contribution, and receive $AI3 rewards.
Autonomys Ambassador Program
History
Subspace launched the global Ambassador Program and onboarded its inaugural cohort in 2022, catalyzing rapid community growth. The program has successfully onboarded several cohorts since then, most recently in Q3 2024. The ~80 Ambassadors that now support Autonomys range in skillset from content creators and multi-language community managers to developers and technical support agents. We are immensely grateful for all their hard work.
On-Demand Onboarding
Through the Ambassadors’ own unique, iteratively developed internal governance framework, the community collectively decided to reform the Ambassador onboarding process in Q4 2024. As a result, the Subspace Foundation is moving from quarterly cohort-based onboarding to a new on-demand application process where the program will select ambassadors from the available pool of applicants based on their skillset and the current requirements of the Autonomys project.
This on-demand approach will streamline and bring greater flexibility to the onboarding process for both Ambassadors and Autonomys, and ensures that Ambassadors can join and thrive at their own pace, while also meeting the needs of our growing program. We encourage applications from individuals of diverse backgrounds who are able to showcase their skills and experiences, irrespective of their qualifications.
New Ambassadors
At any given time, Lead Ambassadors can select the required number and skillset of any new Ambassadors, in coordination with their teams during their bi-weekly meetings. Lead Ambassadors then contact the Program Manager, who initiates the onboarding process by consulting the dataset of applications from the open application form and inviting a select number of applicants based on the requirements.
Selected applicants become Apprentice Ambassadors who are required to complete their Educational Plan within four weeks, culminating in the submission of their mini-project. At the end of each week, Apprentice Ambassadors complete an assessment to ensure their understanding and readiness. Each Apprentice Ambassador is assigned an experienced volunteer Mentor who provides them with guidance, support and feedback throughout the onboarding process.
At the end of the fourth week, the Ambassador’s Mentor and the Program Manager meet to decide whether to allow the Apprentice into the Ambassador Program. Regular All-Hands events connect newly approved ambassadors with their peers and experienced ambassadors, building internal community relationships.
This equips every Autonomys Ambassador with the necessary tools, knowledge, and resources to effectively represent our program from day one. Mentors also provide feedback on the onboarding process itself, and the Lead Education & Content Ambassador and Program Manager update the Educational Plan every quarter, allowing for continuous improvement and adaptation.
How to Apply
- Submit this open application form.
(Tip: Showcase your skills to ensure your application stands out) - Ambassadors will select your application and invite you to the Program if your skills meet the needs of the project.
- Selected applicants are required to complete a 4-week Educational Plan and mini-project as Apprentice Ambassadors.
- After 4 weeks and successful completion of your Educational Plan and mini-project, the Ambassador team will decide whether you have been accepted to the Ambassador Program.
- If successful, you will be onboarded to the full team of Autonomys Ambassadors via an All-Hands event.
We look forward to welcoming a new wave of ambassadors and continuing to build a vibrant, empowered community!
About Autonomys
The Autonomys Network — the foundation layer for AI3.0 — is a hyper-scalable decentralized AI (deAI) infrastructure stack encompassing high-throughput permanent distributed storage, data availability and access, and modular execution. Our deAI ecosystem provides all the essential components to build and deploy secure super dApps (AI-powered dApps) and on-chain agents, equipping them with advanced AI capabilities for dynamic and autonomous functionality.
