Raiinmaker is officially partnering with SINT to provide human verification for distributed AI systems. Platform Traiin is a pilot rollout that allows confirmed input from humans to increase the reliability and scalability of autonomous agents. The strategic intention behind this move is to remove control through artificial intelligence (AI) in favour of establishing a user-centric ecosystem.
🚨Partnership Announcement
Sint x Raiinmaker🤝
We are working together with @Sinthive to accelerate a decentralized intellectual revolution.
AI, Web3, Metaverse & Robotics Converge -raiinmaker brings human validation to tomorrow’s neural structure.
Sint is part of pic.twitter.com/puw0cltdfb
– Raiinmaker (@raiinmakerApp) June 6, 2025
The purpose of the partnership is to support intelligent agents that run efficiently in Web3, robotics and metaverse applications by combining SINT’s AI agent development capabilities with Raiinmaker’s verification infrastructure.
Decentralized and autonomous intelligence infrastructure
This partnership uses the Traiin platform as a technical foundation. This allows AI agents to access a secure layer of human validation data that can create rules and take action based on real-world perceptions. This structure also prevents agents from relying entirely on the output of the algorithm, and instead requires human feedback in the decision-making process.
Integration support provides large, adaptive, intelligent systems that function at a scale beyond current protocol constraints. The platform links to SINT’s AI tools and provides a framework for developers to build and test AI agents, and human verification is important in such an environment.
Create scalable, transparent digital interactions
The two companies share values in making the AI experience transparent and inclusive. Their approach eliminates traditional gatekeepers and allows users to participate in the development of AI systems. Together, these create a safer and more reliable environment where digital agents can perform their work across a variety of distributed ecosystems.
This collaboration takes a step towards creating autonomous AI models based on human input. By consolidating pilots, you will be informed of the future of a distributed platform.