Robo.ai unit launches NeuroStream platform for Physical AI visual data infrastructure
DUBAI: Robo.ai Inc. announced that its wholly-owned subsidiary, Neurovia AI, has launched NeuroStream™, a technology platform designed to support the growing demand for visual data processing in the physical artificial intelligence (AI) sector.
The company said the platform uses bitmap vectorisation algorithms to deliver high-fidelity, low-bandwidth and low-power infrastructure support for machine-generated visual data.
Neurovia AI Chief Technology Officer Mansoor Ali Khan said NeuroStream™ was developed to address rising data storage and transmission costs in the expanding machine economy ecosystem.
According to internal testing published on the company’s official website, a 5.5GB 4K 60fps video processed through NeuroStream™ was compressed to 278MB, reducing storage requirements by about 95 per cent while maintaining the original resolution and frame rate.
The company said the visually lossless compression capability allows compressed files to remain suitable for machine vision and AI computations, particularly in industrial, sovereign and legal-use environments that require high data authenticity.
Mansoor said increasing global data storage costs had created significant financial pressure for AI operators and enterprises handling large-scale visual data.
“Every terabyte of data storage saved can generate direct annual economic benefits of between US$1,000 and US$1,500 for AI customers, excluding indirect gains related to transmission efficiency, energy savings and data security,” he said.
Neurovia AI said the platform converts traditional bitmap data into vectorised mathematical expressions through AI-native compression and intelligent visual optimisation, enabling lower transmission and storage costs without compromising critical AI-readable visual information.
The company added that NeuroStream™ supports native file compatibility, allowing processed images and videos to retain their original formats without requiring specialised decompression software.
It said the platform also enhances machine vision recognition accuracy by improving the signal-to-noise ratio of processed data, increasing the efficiency of AI algorithms operating on compressed files.
Designed for edge computing applications, NeuroStream™ can operate on standard commercial hardware and process hundreds of terabytes of data, enabling deployment across drones, sensors and mobile devices operating in resource-constrained environments.
Neurovia AI said the platform also supports offline operations to ensure privacy and compliance requirements for sectors such as aerospace, medical imaging and energy.
The company plans to expand deployment of NeuroStream™ into autonomous driving, robotics and smart city applications as global demand for edge computing infrastructure continues to grow.