HashKey CaaS announced a strategic partnership with Lingchu Intelligence, a robotics company focused on embodied AI. The two parties will collaborate deeply on robot data tokenization and the HP2 (HashKey Payment Protocol) autonomous payment network, advancing the integration of AI and digital financial systems and jointly building critical infrastructure for the embodied intelligence economy.
As part of this collaboration, Lingchu Intelligence will deploy 10 dual-arm robots integrated with HP2—the payment protocol designed by HashKey CaaS specifically for Web3 and AI agents. Through HP2, these robots will be granted controlled payment permissions, enabling them to perform on-chain interactions as “autonomous agents,” including purchasing services, invoking data APIs, and earning on-chain revenue from task execution. Each autonomous transaction generated by the robots will be fully recorded as auditable on-chain financial vouchers—gradually transforming robots from traditional “intelligent devices” into genuine “digital economic entities” capable of independently participating in economic activities.
Additionally, HashKey CaaS will convert operational data generated by Lingchu Intelligence’s robots during real-world operations into tradable tokenized digital assets, endowing “robot data” with asset attributes and exchange value.
Li Chen, CEO of HashKey’s On-Chain Business Unit, stated: “This collaboration marks the first real-world implementation of the HP2 protocol in the embodied AI domain. HashKey CaaS’s new on-chain financial infrastructure will enable robots and AI to truly integrate into the digital financial system—facilitating autonomous on-chain settlement and value transfer—and laying the foundation for embodied intelligence to participate meaningfully in real-world economic development.”
Wang Qibin, CEO of Lingchu Intelligence, stated: “The widespread adoption of embodied intelligence depends on clear data ownership and an automated value-exchange system. Through our collaboration with HashKey, Lingchu Intelligence will accelerate its evolution—from technology R&D toward ecosystem-level development oriented around the machine economy.”
Looking ahead, both parties will continue exploring further applications of embodied intelligence in areas such as payments and autonomous services, accelerating the deployment of related technologies and business models—and driving the AI economy from conceptual validation toward large-scale implementation.















