AGI Open Network, a decentralized AI infrastructure provider, partners with Deepsafe, a blockchain entity, using a comprehensive PoW+POS consensus. The partnership aims to develop untrusted AI agent validation while enhancing a distributed Web3-based infrastructure. As the platform revealed in its official X announcement, the collaboration is a notable move to improve interoperability and security in the AI-driven blockchain ecosystem. With this in mind, development is expected to accelerate adoption and provide exclusive opportunities for companies and developers working in decentralized and AI technologies.
We are pleased to announce our strategic partnership with @@deepsafe_ai!
deepsafe is a blockchain with Hybrid Pow+POS and offers distributed validation of AI, cross-chain and Web3.
🤝Partnership highlights:
Enable untrusted AI agent verification using ring ring VRF– AGI Open Network (@Agiopennetwork) September 10, 2025
Advance AGI Open Network and DeepSafe Collaborated AI Agent Security
The partnership between AGI Open Network and DeepSafe focuses on establishing a robust infrastructure for Web3 and AI. Therefore, development considers providing state-of-the-art AI agent verification mechanisms. These mechanisms reportedly use technologies such as trusted execution environments (TEE), MPCs, and Ring VRFs.
In addition to this, the merger of the AI ecosystem of AGI open networks with Deepsafe’s Validator Network will lead to the development of a resilient framework. This ensures decentralized, transparent and secure AI operations. As a result, the move addresses the growing demand for unique and unreliable verification of AI agents across diverse blockchains. Separately, Deepsafe’s latest consensus model offers a balanced approach to scalability and decentralization. Therefore, the duo strives to enhance the trustworthy deployment of AI agents through chains and Web3 configurations.
Builder’s powerful verification mechanism and cross-chain compatibility
According to the AGI Open Network, the collaboration pays considerable attention to developers by providing stronger security in AI agent deployments. Additionally, the development also offers reliable verification mechanisms and unparalleled cross-chain compatibility. This minimizes the risk linked to a centrally controlled validation model. Overall, development seeks to establish the foundations of a secure AIILED Web3 landscape focused on relatively decentralized developers.