Read on.

Traditional AI agents are stuck in centralized silos.
They can’t collaborate, can’t access real-world data trustlessly, and can’t execute complex multi-step operations across different systems.
Theoriq fixes this.
They use decentralized agent collectives.
AI swarms that work together on DeFi tasks like autonomous trading, yield optimization, and treasury management.
And theoriq is not alone in this.
The entire AI/compute infrastructure stack is converging around decentralized networks.
They’re all solving the same fundamental problem: centralized AI infrastructure can’t scale for the demands of autonomous agents.
Here’s what makes Theoriq special:
They’ve raised $10.4M and partnered with for GPU compute, Filecoin for data, and major protocols for real-world implementation.
Their testnet is already processing agent collectives that handle complex DeFi operations.
Most importantly though, These agents dynamically form swarms to address multi-agent tasks with role allocation, voting mechanisms, and adaptive strategy execution.
Think about what this enables:
> AI agents that optimize yield farming strategies across protocols
> Automated market makers that learn and adapt
> Cross-chain treasury management run by agent collectives
> Real-time risk assessment and portfolio rebalancing
The infrastructure wars aren’t just about compute anymore.
They’re about who can enable autonomous agents to collaborate most effectively.