The current landscape of distributed ledger technology (DLT) is fragmented by the "Blockchain Trilemma." Existing Layer-1 and Layer-2 solutions attempt to solve scalability at the cost of decentralization or privacy. Qanto proposes a fundamentally different approach: a **Layer-0 Orchestrator** that decouples state execution from consensus propagation.
SAGA-AI (Synthetic Agentic Grayscale Architecture) is the core execution engine of Qanto. Unlike standard EVM execution, SAGA-AI utilizes decentralized inference to validate complex agentic behaviors.
Validators in the Qanto network do not merely verify transaction signatures. They participate in a multi-party computation (MPC) to generate proofs for SAGA-AI model outputs.
Where \(S\) is the current state, \(A\) is the agent's action, \(\theta\) is the opaque model parameter set, and \(\pi\) is the ZK-proof of correct execution.
Privacy is not an add-on in Qanto; it is the fundamental state of every address. Through ZK-Shield, every transaction utilizes stealth addresses and confidential values by default.
Utilizing Groth16 and PLONK proof systems, Qanto ensures that the underlying DAG remains opaque to external observers while remaining fully verifiable by the consensus layer.
Qanto moves away from linear block structures. Instead, it utilizes a Directed Acyclic Graph (DAG) for transaction recording, coupled with a GHOST-weighted selection algorithm for the main chain.
This allows for asynchronous transaction processing, effectively removing the "Next Block" waiting time common in legacy networks.
Qanto represents the next evolutionary step in protocol design. By combining high-velocity consensus with ZK-privacy and AI-native execution, we establish a foundation for the next decade of decentralized applications.