Insider Brief
- Robo.ai announced an agreement to acquire data processing and compression company Neurovia AI in an all-stock transaction valued at $100 million as it expands infrastructure for robotics and physical AI systems.
- Robo.ai said Neurovia’s technology is designed to address growing demands around real-time processing, compression and transmission of large-scale video data generated by autonomous machines, robotics platforms and AI-enabled infrastructure.
- The acquisition will support development of a broader AI video data infrastructure platform targeting applications including robotaxis, autonomous vehicles, humanoid robots, drones, smart cities and industrial automation systems across markets in the Middle East and Asia.
PRESS RELEASE — Robo.ai Inc. (NASDAQ: AIIO) (the “Company” or “Robo.ai”) today announced an agreement to acquire 100% of the equity interest in Neurovia AI Limited (“Neurovia”), a technology company specializing in data processing and compression, for a total consideration of $100 million. The closing of the transaction remains subject to the satisfaction of customary closing conditions.
This acquisition accelerates Robo.ai’s development of foundational infrastructure for physical artificial intelligence. The transaction is structured entirely in stock, reflecting an alignment of core interests and a shared objective to build a global AI infrastructure and machine economy ecosystem.
As the industry transitions from digital AI to physical AI, a primary operational requirement is the efficient storage, processing, transmission, analysis, and management of real-world data. Neurovia’s management noted that video data acts as the primary data inlet in the physical AI era, presenting a continuous challenge regarding the global compression, real-time transmission, edge processing, and cloud analysis of the massive data generated by AI machines. Management stated that Neurovia’s underlying technology directly addresses this industry requirement and that integrating with Robo.ai will contribute to building a data infrastructure for smart devices worldwide.
Following the acquisition, Robo.ai plans to upgrade its relevant business lines from traditional video codec operations to a comprehensive global AI video data infrastructure platform. This upgraded infrastructure will support various intelligent terminals and core use cases, encompassing robotaxis, autonomous vehicles, unmanned delivery systems, smart cities, AI camera networks, drone platforms, humanoid robots, and smart manufacturing systems.
The transaction structure is designed to ensure a long-term alignment of strategic and commercial interests. The acquisition consideration will be paid entirely through the issuance of Robo.ai’s Class B ordinary shares. This all-stock structure allows Robo.ai to maintain a solid balance sheet and adequate liquidity to fund ongoing research and development as well as market expansion, while demonstrating the Neurovia team’s recognition of the Company’s development potential. To ensure operational continuity and steady business growth, the parties have established a strict equity lock-up mechanism. All issued shares will be subject to a complete lock-up for the first three years following the closing. Starting in the fourth year, the shares will vest gradually over a subsequent five-year period, resulting in a total lock-up schedule of eight years. This structure is intended to secure the long-term core interests of all shareholders and ensure the Neurovia team’s commitment to the Robo.ai ecosystem.
Over the next decade, Robo.ai plans to focus on the closed-loop integration of AI hardware, video data, edge AI, and blockchain to build a complete machine economy ecosystem. The Company is actively advancing its strategic footprint in core markets across the Middle East and Asia, focusing on global commercial opportunities in smart cities, sovereign AI infrastructure, and autonomous driving. Recognizing real-world data as a core asset in the AI economy, Robo.ai will continue to explore application scenarios, including on-chain identities for AI devices, video data assetization, AI data rights confirmation, and stablecoin payments, aiming to construct a highly coordinated global AI machine network.
