LOS ANGELES, California — February 5, 2026
Executive Summary
AIxCrypto Inc., a U.S. Nasdaq-listed company focused on building infrastructure that integrates artificial intelligence and blockchain technologies, has announced a strategic partnership with FF AI-Robotics Inc. to explore Web3-based infrastructure frameworks for embodied artificial intelligence applications. The collaboration follows the public unveiling of Faraday Future’s embodied AI (EAI) robotics strategy and product lineup at the National Automobile Dealers Association (NADA) 2026 conference. According to the companies, the non-exclusive and exploratory partnership will assess how decentralized identity, settlement, and data-ownership frameworks can support intelligent vehicles, robotics platforms, and other embodied AI systems. The initiative is intended to evaluate protocol-level architectures that enable verifiable device identities, privacy-preserving data coordination, and blockchain-based task and incentive mechanisms across multiple EAI use cases, while remaining aligned with applicable regulatory, compliance, and data-protection requirements across jurisdictions.
Announcement Overview
AIxCrypto Inc. and FF AI-Robotics Inc. have entered into a strategic collaboration focused on evaluating the applicability of Web3 infrastructure in embodied artificial intelligence environments. The companies stated that the collaboration is exploratory in nature and does not constitute a joint venture, acquisition, or revenue-sharing arrangement.
The announcement follows Faraday Future’s public presentation of its embodied AI robotics strategy and product roadmap at the NADA 2026 conference, where the company outlined its vision for intelligent mobility platforms and robotic assistants. According to the companies, the collaboration aims to examine how decentralized technologies may be applied to real-world AI systems, including intelligent vehicles, robotics platforms, and connected embodied AI endpoints.
AIxCrypto indicated that the partnership aligns with its infrastructure-first approach to bridging Web2 and Web3 systems, particularly in scenarios where artificial intelligence operates within physical environments. FF AI-Robotics, a robotics-focused operating entity within the Faraday Future ecosystem, is advancing embodied AI platforms that integrate intelligence, autonomy, and physical interaction across multiple device categories.
The companies stated that the collaboration will explore technical frameworks rather than deploy production systems, with a focus on evaluating feasibility, compliance, and scalability considerations across diverse embodied AI contexts.
Key Announcement Details
- Announcement type: Strategic partnership (non-exclusive, exploratory)
- Participating entities: AIxCrypto Inc. and FF AI-Robotics Inc.
- Focus area: Web3 infrastructure frameworks for embodied AI
- Applicable domains: Intelligent vehicles, robotics platforms, connected EAI devices
- Collaboration scope: Decentralized identity, settlement, data ownership, protocol-level coordination
- Geographic relevance: Global, with initial focus on U.S. and international EAI deployments
- Commercial structure: No joint venture, acquisition, or revenue-sharing agreement
- Related event: Faraday Future EAI strategy unveiling at NADA 2026
Strategic Context
According to the companies, embodied artificial intelligence represents a growing category of AI systems in which intelligence is deployed within physical devices capable of interacting with real-world environments. These systems include intelligent vehicles, humanoid robots, quadruped robots, and other autonomous or semi-autonomous platforms that operate across commercial, industrial, and consumer contexts.
The companies noted that as embodied AI systems scale, they introduce new infrastructure challenges related to identity, data ownership, task coordination, and economic incentives. Traditional centralized architectures may face limitations in supporting cross-device collaboration, verifiable provenance of data and actions, and interoperable economic settlement across heterogeneous platforms.
AIxCrypto stated that its Web3-oriented infrastructure approach seeks to evaluate how decentralized identity protocols, on-chain settlement mechanisms, and privacy-preserving data frameworks can address these challenges. FF AI-Robotics indicated that its embodied AI platforms require scalable and compliant infrastructure capable of supporting continuous learning, coordination across device fleets, and interaction with external ecosystems.
The collaboration is positioned as an evaluation of infrastructure concepts rather than a commercial deployment, with both parties emphasizing alignment with regulatory requirements, data-protection obligations, and user-centric design principles.
Scope of the Web3 Infrastructure Exploration
According to the companies, the collaboration will focus on multiple technical and architectural dimensions relevant to embodied AI systems. One area of exploration involves the applicability of native decentralized identity protocols within robotics and intelligent mobility contexts. This includes assessing how verifiable, traceable on-chain identities for intelligent devices could provide a trusted foundation for data flows, task execution, and value distribution.
Another focus area involves evaluating blockchain-based mechanisms for task dispatch, contribution tracking, and incentive distribution across embodied AI systems. The companies stated that this may include exploration of wallet-connected workflows and on-chain settlement models that support coordination across robotics platforms, intelligent vehicles, and other connected endpoints.
The collaboration also encompasses exploration of protocol-level mechanisms that support privacy-preserving data sovereignty and data verification. According to the companies, these mechanisms are intended to enable secure coordination in embodied AI scenarios while allowing developers to access data and capabilities through application-layer integrations and developer platforms.
Where appropriate, the collaboration may also examine real-world asset (RWA)-related applications in the context of embodied AI, subject to regulatory and compliance considerations.
Leadership Statement from AIxCrypto
“This collaboration reflects our ongoing focus on infrastructure-first exploration at the intersection of AI and Web3,” said Jerry Wang, Co-CEO of AIxCrypto Inc. “As embodied AI systems continue to evolve, we believe it is important to responsibly explore how decentralized technologies can support data ownership, verification, and long-term ecosystem alignment. Working with FF AI-Robotics provides an opportunity to evaluate these concepts in real-world contexts.”
Alignment With FF AI-Robotics’ Embodied AI Roadmap
The collaboration is intended to complement FF AI-Robotics’ embodied AI roadmap, which was publicly presented at the NADA 2026 conference. According to the company, the roadmap includes intelligent mobility platforms and robotic assistants designed to operate across professional, commercial, industrial, and household environments.
FF AI-Robotics stated that its embodied AI strategy encompasses a multi-form product portfolio, including full-size humanoid robots, athletic humanoid robots, quadruped robots, and intelligent vehicle-integrated AI systems. These platforms are designed to function as embodied AI endpoints capable of physical interaction, autonomous decision-making, and continuous learning.
The company indicated that the collaboration with AIxCrypto provides an opportunity to evaluate how decentralized infrastructure components could support these platforms at scale, particularly in areas such as identity management, data coordination, and ecosystem participation.
Infrastructure Considerations for Embodied AI Systems
According to the companies, embodied AI systems introduce unique infrastructure requirements compared to purely digital AI applications. These include the need for verifiable device identities, secure coordination across distributed fleets, and mechanisms for tracking contributions and outcomes in real-world environments.
AIxCrypto noted that decentralized identity frameworks may enable intelligent devices to establish persistent, verifiable identities that support trust across multi-party ecosystems. Such identities could facilitate secure data exchange, coordination of tasks across devices, and attribution of actions and outcomes.
Blockchain-based settlement mechanisms may also provide a foundation for automating incentives and compensation across embodied AI networks. According to the companies, these mechanisms could support scenarios in which devices, operators, developers, and service providers participate in shared economic systems.
Privacy-preserving data frameworks were identified as another critical consideration, particularly in jurisdictions with diverse data-protection and AI governance requirements. The companies stated that any exploration of Web3 infrastructure will be conducted in alignment with applicable laws and regulations, as well as internal privacy and security commitments.
Developer Ecosystem and Participation
AIxCrypto indicated that its developer ecosystem may play a role in supporting future experimentation related to blockchain-enabled embodied AI scenarios. According to the company, developer platforms can enable access to data and capabilities, composition of applications, and integration at the application layer.
The collaboration may also explore incentive mechanisms designed to foster developer participation in embodied AI blockchain infrastructure and application-layer development. The companies emphasized that such exploration would be conducted within a framework that prioritizes compliance, security, and responsible deployment.
FF AI-Robotics stated that its open ecosystem approach is intended to support cross-device collaboration and continuous learning across multiple robot forms and usage scenarios.
Regulatory and Compliance Considerations
Both companies emphasized that the collaboration is being conducted with a focus on regulatory compliance and risk management. According to AIxCrypto, the company maintains an ongoing focus on regulatory alignment, particularly given the evolving legal landscape surrounding blockchain technologies and digital assets.
FF AI-Robotics noted that embodied AI deployments operate within complex regulatory environments that span safety, data protection, AI governance, and sector-specific requirements. The companies stated that any infrastructure concepts explored through the collaboration will be evaluated with these considerations in mind.
The exploratory nature of the partnership allows the companies to assess feasibility and compliance without committing to production deployment or commercialization.
About AIxCrypto Inc.
AIxCrypto Inc. is a U.S. Nasdaq-listed company dedicated to building an ecosystem that integrates artificial intelligence and blockchain technologies while bridging Web2 and Web3 environments. Founded with the objective of enabling real-world applications of AI through decentralized infrastructure, the company focuses on protocol-level frameworks that support data ownership, identity, and settlement.
AIxCrypto’s core product portfolio includes the BesTrade DeAI Agent and a range of AIxC ecosystem products designed to support AI-driven decisioning and blockchain-enabled workflows. The company operates with a focus on regulatory compliance, security, and user-centric design, particularly in regulated markets.
As a publicly listed company on the Nasdaq exchange under the ticker AIXC, AIxCrypto serves developers, enterprises, and ecosystem participants seeking to deploy AI solutions that interact with decentralized systems. The company’s activities span infrastructure development, ecosystem support, and exploration of real-world asset frameworks where appropriate.
About FF AI-Robotics Inc.
FF AI-Robotics Inc. is a robotics-focused operating entity established within the Faraday Future ecosystem to advance its embodied artificial intelligence strategy. Headquartered in California, the company is focused on the development and commercialization of embodied AI devices that integrate intelligence, autonomy, and physical interaction in real-world environments.
The company is building a multi-form embodied AI product portfolio that includes full-size humanoid robots, athletic humanoid robots, quadruped robots, and intelligent vehicle-integrated AI systems. These platforms are designed to support applications across professional, commercial, industrial, and household settings.
FF AI-Robotics operates under a “three-in-one” embodied AI ecosystem strategy that combines embodied AI devices, an open EAI Brain and developer platform, and decentralized data frameworks. According to the company, this architecture is intended to enable scalable deployment, continuous learning, and ecosystem co-creation across multiple robot forms and use cases.
Source Attribution
Source: Company announcement