Vishwa Advances Agentic Infrastructure Research Through Contribution to Emerging Framework for Agentic Payment

San Francisco, November 2025 — Vishwa, the AI infrastructure company building the verifiable, trustless coordination fabric for autonomous finance, announced its technical contribution to Kite AI’s new Agentic Payment framework, a technical whitepaper that defines a reference architecture for agent-led payment rails.

The whitepaper explores how autonomous AI agents can initiate, verify, and settle payments independently through programmable, stablecoin-native rails, enabling real-time, machine-to-machine value transfer without human intermediaries.

Vishwa’s founder Nathan Liang participated as a peer reviewer, providing feedback on key components that strengthen the framework’s scalability and security, including state channel construction, oracle systems with SLA enforcement, game-theory boundaries of agent reputation, and cross-chain compatibility.

“The agentic economy is more than a concept—it’s an infrastructure problem,” said Nathan Liang, Co-Founder of Vishwa. “Kite’s programmable constraints and three-tier identity for payment infrastructure are ambitious, and our work at Vishwa ensures agents can operate across networks with verifiable coordination. Payments are only the first step. The next is enabling capital to think and move for itself.”

Beyond Payments: The Coordination Layer of the Agentic Economy

While Kite AI’s SPACE framework defines how agents participate in Agentic Payment—through stablecoin-native settlement, programmable constraints, agent-first authentication, compliance-ready rails and economically viable micropayments—Vishwa extends this architecture into a full-scale capital coordination layer for capital, where agents can price risk, allocate liquidity, and execute strategies across networks.

Powered by graph neural networks (GNN) and zero-knowledge proofs (ZK), Vishwa’s system enables AI agents to discover hidden relationships between assets, verify states across more than 160 chains, and execute institutional strategies without moving the underlying assets or disrupting existing custody setups.