AIIO News & Events

Robo.ai Inc. announced that its subsidiary, Robus, has completed the manufacturing of its initial commercial prototype vehicles and has commenced deliveries in the Pakistani market. This is a milestone toward the next stages of scaled revenue generation and commercial order fulfillment. Following the delivery of the first batch prototype vehicles, Robus plans to continue deliveries for subsequent volume orders and concurrently advance the scheduled ramp-up of its manufacturing capacity.

Robo.ai Inc trading halted, news pending

Robo.ai Inc. announced that it will implement a 1-for-20 reverse stock split of all classes of the company's ordinary shares, including the Class A ordinary shares and the publicly traded Class B ordinary shares, effective at 8:00 am, U.S. Eastern time, on April 6. The reverse stock split was approved by the company's board of directors on January 19 pursuant the company's fourth amended and restated memorandum and articles of association. Before the reverse stock split, there were 36,350,011 Class A ordinary shares and 355,750,058 Class B ordinary shares. After the reverse stock split, there will be 1,817,501 Class A ordinary shares and 17,787,525 Class B ordinary shares. The company's Class B ordinary shares will begin trading on an adjusted basis giving effect to the reverse stock split at the opening of market, U.S. Eastern time, on April 6 under the existing ticker symbol. The new CUSIP number of the company's Class B ordinary shares will be G6693P122. The reverse stock split is being implemented to regain compliance with the $1.00 minimum bid price requirement for continued listing on the Nasdaq Capital Market with respect to the company's Class B ordinary shares.

Robo.ai Inc. announced the capacity expansion plan for its intelligent data business segment. Following the delivery of its initial batch of real-world interaction data and the initiation of the revenue recognition process in the first quarter of this year, the company plans to advance this business line into a scaled capacity phase. To achieve a baseline delivery target of 10,000 hours of real-world interaction data in 2026 and to address the artificial intelligence industry's continued demand for structured data, Robo.ai is leveraging regional resources across the Middle East and Asia to establish a cross-regional AI data service network. Building upon the initial commercial processes established with DaBoss.AI, a Silicon Valley-based AI model data service provider, the company is advancing a supply chain system through partnerships based on Middle East-Asia regional synergies to create a data production platform serving the large model and intelligent industries. In the Middle East, Robo.ai plans to expand into multi-language and multi-scenario data annotation through strategic partnerships, building on its existing intelligent data operations. The company plans to develop standardized datasets centered on the Arabic language and local culture to consolidate its data node function within the regional AI ecosystem. Concurrently in East Asia, Robo.ai is integrating the embodied intelligent hardware supply chain by collaborating with local robotics manufacturers. This initiative seeks to secure the physical hardware, such as flexible robotic arms and physical robots, required for scaled intelligent data collection. By connecting the intelligent hardware and data collection segments of the supply chain, the company ensures its capacity to undertake data collection tasks requiring high-precision force control and spatial vision. Furthermore, in South Asia, Robo.ai is advancing cooperation frameworks with relevant data production platforms in India to address the data throughput requirements of AI model training. As a preliminary target for this regional cooperation, the company plans to develop an additional 30,000 hours of multi-dimensional scenario data collection and annotation processing capacity to steadily increase its total production scale.