DUBAI, UAE, May 14, 2026 /PRNewswire/ -- Robo.ai Inc. (Nasdaq: AIIO), announced today that its wholly-owned AI data processing and compression technology subsidiary, Neurovia AI, has officially released its core technology platform, NeuroStream™. Designed for the machine economy era, the platform utilizes a bitmap vectorization algorithm to provide high-fidelity, low-bandwidth, and low-power infrastructure support for the massive visual data generated by physical artificial intelligence. Mansoor Ali Khan, Chief Technology Officer of Neurovia AI, detailed the platform's technical architecture and application cases. To demonstrate the practical performance of NeuroStream™, Neurovia AI has published comparative case studies on its official website (https://www.neuroviaai.ae/). According to internal testing, a 5.5GB 4K 60fps original video processed through NeuroStream™ can be compressed to a file size of 278MB, reducing storage space usage by approximately 95%. These tests indicate that NeuroStream™ significantly reduces file size while fully retaining core visual information such as the original video's resolution and frame rate. This visually lossless characteristic ensures that the substantially compressed data continues to provide a clean and complete data source for subsequent machine vision and AI computations. This capability meets the strict data authenticity requirements of industrial, sovereign, and specific legal application scenarios, while also generating clear economic benefits for enterprises in terms of energy consumption, storage space, and processing latency. Chief Technology Officer Mansoor noted that global unit data storage prices have increased approximately fourfold since 2026. According to industry estimates, every terabyte of data storage saved generates a direct economic benefit of $1,000 to $1,500 annually for an AI customer, in addition to indirect benefits related to transmission efficiency, energy consumption, data integrity, and security. Through AI-native compression, intelligent visual optimization, and edge computing adaptation, NeuroStream™ converts traditional bitmap logic into a vectorized mathematical expression. This approach lowers transmission and storage costs while precisely preserving the