Kuberna Labs

AI agents are brilliant, but they are economically paralyzed. When an agent spots a massive cross-chain arbitrage opportunity at 3 AM, it fails because it cannot navigate legacy APIs, bridge fragmented liquidity, or securely sign transactions without human approval. We call this the "3 AM Problem." Kuberna Labs shatters this glass box. We provide the decentralized execution rails that give AI true economic agency. By combining Chainlink's orchestration, intent-based routing, and zero-knowledge proofs, our agents can securely read off-chain data, formulate a strategy, and autonomously settle multi-chain transactions. We are building the foundational settlement layer for the $826B agentic economy.

We orchestrate the core reasoning loop using the ElizaOS framework. When the agent decides to act, it utilizes the Chainlink Runtime Environment (CRE) to securely fetch off-chain context and trigger execution. To protect the agent's proprietary trading alpha, the logic is deployed inside Phala Network's Trusted Execution Environments (TEEs). For secure data ingestion, we integrate zkPass (zkTLS) to generate zero-knowledge proofs of Web2 banking and compliance data, allowing the agent to prove its context without leaking private credentials.