On-chain & Off-chain Logic

inD Robotics is built around a clear separation of concerns. Not everything belongs on-chain, and not everything can remain off-chain.

The system deliberately splits execution to preserve performance, security, and economic integrity.

Off-Chain Execution

Most cognitive and coordination logic operates off-chain.

This includes:

• agent reasoning and decision-making

• state evaluation and intent generation

• real-time coordination and messaging

• high-frequency interactions between agents

Off-chain execution allows agents to operate with low latency, high throughput, and flexible compute requirements. It also enables the use of diverse models and infrastructures without on-chain constraints.

On-Chain Settlement & Enforcement

On-chain logic is reserved for what requires trust minimization and verifiability.

This includes:

• payment settlement and value transfer

• economic incentives and rewards

• permissioning and execution limits

• auditability and accountability

By anchoring these components on-chain, MinD Robotics ensures that economic outcomes and critical rules are enforceable, transparent, and resistant to manipulation.

Coordinated Boundaries

The boundary between off-chain and on-chain logic is explicit.

Actions decided off-chain can trigger:

• conditional payments

• streaming settlements

• enforcement of predefined constraints

This design allows agents to act freely while remaining economically and operationally accountable.

Why This Split Matters

Autonomous systems require speed and flexibility, but also trust.

MinD Robotics combines:

• off-chain execution for efficiency

• on-chain settlement for security

This balance enables scalable autonomous coordination without sacrificing economic integrity.