Cogni AI Launches Autonomous Web3 Agents for Blockchain Automation
Cogni AI introduces autonomous AI agents for Web3, enabling automated blockchain workflows and smart contract execution without manual intervention.
Dubai, UAE, Aug. 11, 2025 — Cogni AI, a technology firm specializing in autonomous artificial intelligence, has unveiled its latest platform upgrade aimed at automating processes within the Web3 ecosystem. The company's AI Agents are designed to operate independently, integrating with decentralized protocols, smart contracts, and blockchain systems.
Key Features of Cogni AI's Autonomous Agents
- Automated Blockchain Tasks: The agents can monitor transactions, trigger smart contracts, process data, and interact with decentralized applications (dApps) without human intervention.
- Cross-Chain Interoperability: The platform supports multiple blockchain environments, enabling seamless multi-step processes across different protocols.
- Decentralized Governance: The $COGNI token grants access to agent deployment and allows holders to participate in platform governance.
Token Presale and Roadmap
The $COGNI token is currently in its second presale phase, priced at $0.035, with plans to increase to $0.05 in stage 3. The public launch price is set at $0.15. Future developments include advanced logic capabilities, decentralized governance integration, and enterprise system compatibility.
Industry Impact
Cogni AI's technology addresses the growing demand for automation in Web3, offering potential applications in decentralized finance (DeFi), supply chain management, and more. Analysts highlight the agents' ability to reduce costs and improve efficiency by eliminating the need for constant human oversight.
For more details, visit Cogni AI's official website or their presale page.
Contact:
Nancy Royston
contact@aicogni.io
Disclaimer: This press release is not investment advice. Conduct due diligence before investing in cryptocurrencies or securities.
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About the Author
Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.