Corbits Partners With NEAR AI on Private Agents

Corbits, a platform for collaborative AI workflows, has partnered with $NEAR AI, a blockchain and AI infrastructure company, to develop more private and verifiable agent workflows.

The partnership combines $NEAR AI’s private inference technology with IronClaw, its open-source secure agent runtime, and Corbits’ tools for shared workflows and provenance records. The goal is to help teams verify where AI inference took place, what an agent did, and which security controls governed its actions.

$NEAR AI runs supported models inside Trusted Execution Environments (TEEs), hardware-isolated areas designed to protect code and data during processing. The company also provides attestation reports and cryptographic signatures.

IronClaw adds another layer of control. The open-source agent runtime uses WebAssembly sandboxes, capability-based permissions, endpoint allowlists, and protected credential injection to limit what agents and their tools can access.

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