Kite, an AI-based blockchain platform, attracted PayPal Ventures and General Catalyst as its Series A investors with a total of $18M. This has been followed by the company announcing a partnership with Brevis, a zero-knowledge proof coprocessor network, to enhance verifiable trust and computation infrastructure for AI payments in the new agentic economy.
Building Infrastructure for Autonomous Agent Transactions
Kite recently introduced Kite Agent Identity Resolution (AIR), a comprehensive solution that allows autonomous agents to authenticate and transact securely. It allows them to operate within the real-life scenarios. The platform provides agents with encrypted identification, programmable permissions, and native stablecoin payment access, thereby building critical infrastructure for the agentic web.
Brevis, which raised $7.5M in seed funding from Polychain Capital and Binance Labs, is a smart verifiable computing platform that allows blockchain applications to offload complex and expensive computation to a low-cost off-chain network, where a ZK Proof of the computation result is generated.
This integration addresses a key issue; how can AI agents carry out sophisticated computations and financial transactions while retaining verifiable trust? Traditional human-centric systems are too rigid and fragile to support swarms of agents doing micro-transactions at machine speed. The partnership facilitates complex off-chain computations with mathematical certainty on AI agents, and Kites settlements are abrasive.
Zero Knowledge Proofs Find AI Payments
The partnership between Kite and Brevis is a significant breakthrough in trustless computing of autonomous systems. ZK Coprocessor by Brevis allows smart contracts to access and safely perform random on-chain computations on the previous on-chain data, including transactions, events, and states. Combined with Kite’s infrastructure, this provides unprecedented opportunities for AI agents to operate in transparency and verification.
Brevis programmable SDK allows developers to rapidly create strong data-driven and computational-intensive dApps without having to comprehend the underlying encryption. This accessibility is crucial for broad adoption, allowing developers to focus on agent functionality rather than sophisticated cryptographic applications.
AI shoppers can locate any retailer via its links with Shopify, PayPal and complete the purchase on-chain with stablecoins. Verifiable computing layer of Brevis guarantees that price comparisons, risk assessment and verifications of transactions can be conducted off chain without any cost, yet their level of security remains at blockchain level.
The Future of Autonomous Commerce is Being Reshaped
Stablecoins enable new economic models with AI in that they provide settlements in seconds and at minimal costs, agent-to-agent billing, and micro subscriptions. It develops entirely new forms of business where AI agents will manage subscriptions, optimize spending, and negotiate services.
Brevis already has connections with major protocols such as PancakeSwap, Kwenta, JoJo Exchange, and Trusta, and integrating platforms into the agentic economy is underway. Kite is in a position to capture the growing agent’s sector of the DeFi industry.
The cooperation addresses the issue of lack of trust which has been hindered by the adoption of AI agents as it necessitates cryptographic verification of every computation and transaction. Users can now be comforted to leave the AI systems with financial decision-making processes knowing that all operations are transparent, verifiable and traceable.
Conclusion
The Kite-Brevis alliance marks a significant step forward in the convergence of blockchain and AI. It merges zero-knowledge proof technology with AI-native payment infrastructure to enable genuinely autonomous agent economies. With AI agents entering the field of e-commerce, DeFi, and enterprise, our collaboration will be an essential component to make the process universal, and both platforms will be at the center of the revolution of agentic economies.
