Decentralized AI verification network DeepSafe has secured $3 million in seed funding from major investors. This includes Antalpha Ventures and Spark Digital Capital. This funding demonstrates strong confidence in DeepSafe’s mission to create artificially intelligent systems. Which is more transparent, secure and verifiable.
Decentralized AI trusted verification network DeepSafe announced the completion of a $3 million seed round from investors including Antalpha Ventures and Spark Digital Capital. DeepSafe uses the CRVA distributed verification algorithm co-built by four cryptographic technologies: Ring-VRF, ZKP, MPC, and TEE to realize dynamic random selection of verification nodes and multi-agent collaborative verification AI…
— Wu Shuo Blockchain (@wublockchain12) October 30, 2025
Efforts to seek trust in AI
AI systems are rapidly evolving, but trust remains a major concern. DeepSafe aims to solve this problem by building a decentralized verification layer. This confirms whether the AI’s behavior is consistent with the human’s intended behavior. The startup’s technology ensures that AI models do not operate outside of ethical or operational boundaries.
By combining cryptographic technology and decentralized governance. DeepSafe wants to make sure that “trust” is not something that is given to you. That’s something they can verify. The company’s approach is designed to strengthen accountability and trust across AI applications.
The most advanced encryption behind DeepSafe
At the core of DeepSafe’s innovation is the CRVA distributed verification algorithm. It integrates four advanced encryption technologies: Ring VRF, Zero-Knowledge Proofs (ZKP), Multi-Party Computation (MPC), and Trusted ExecutionEnvironment (TEE).
This combination enables dynamic random selection of validation nodes and multi-agent collaborative validation of AI behavior. It’s essentially about building a digital jury system for AI action. This model allows on-chain and off-chain message validation. This allows AI output to be independently verified by multiple participants. Rather than a single central authority.
This combination of privacy, randomness, and decentralization makes the network resistant to manipulation while maintaining verifiable transparency. This technology has already been recognized by the global academic community. DeepSafe’s core protocol has been accepted for publication in the prestigious IEEE Transactions on Information Forensics and Security (TIFS). Document ID 9903072 is a notable outcome of a project still in its early stages.
Building a global verification network
DeepSafe’s advances aren’t just theoretical. The platform has already verified nearly 120 million transactions and boasts over 2.65 million active accounts. These numbers highlight the growing interest from AI developers and blockchain enthusiasts who see value in a trust-based verification layer.
The company’s decentralized structure allows any eligible node to join and participate in verification. This creates a distributed system that can scale as the number of users increases. The collaborative model emphasizes accuracy and transparency. Prevent manipulation with built-in encryption protection.
Supported by industry leaders
Seed round led by Antalpha Ventures and Spark Digital Capital. The results highlight the growing investor confidence in the intersection of AI and Web3. Additionally, both companies have a track record of supporting infrastructure projects. It pushes the limits of technology.
Therefore, with this funding, DeepSafe plans to expand its research partnerships. This will improve the CRVA protocol, thereby allowing more developers to participate in its ecosystem. The ultimate goal is to build a verification standard that can be adopted across multiple AI and blockchain industries. They range from finance and robotics to content generation and cybersecurity.
Looking to the future
As AI becomes deeply integrated into everyday systems. As a result, the need for trust and verification has become urgent. From this perspective, DeepSafe’s model provides a decentralized and tamper-proof way to ensure that AI behaves as intended. There are no hidden biases or untraceable decisions.
This project combines advanced encryption, strong academic validation, and early network adoption. We therefore position this as a potential cornerstone in the transition to trustworthy AI. In addition, it has received $3 million in new funding and backing from established crypto venture companies. DeepSafe is taking a leadership role in shaping how the world validates human and artificial intelligence.
