The Current Challenge

Most automation frameworks and AI systems today are centralized, opaque, and non-verifiable.

• AI systems produce decisions that cannot be independently verified for authenticity.

• Robotics networks rely on closed infrastructures controlled by specific vendors.

• IoT data flows depend on centralized APIs vulnerable to manipulation or downtime.

• Economic incentives for machine work are absent robots and AI agents do not “own” or benefit from their labor.

This fragmentation limits automation’s potential. Despite machines being capable of executing billions of micro-tasks, there is no global coordination layer to ensure trust, transparency, and fair incentives between digital and physical agents.