Robo.ai to Acquire Neurovia for $100 Million to Build Physical AI Data Infrastructure

May 08, 2026
Robo.ai has agreed to acquire Neurovia AI Limited for $100 million in an all-stock deal aimed at advancing data infrastructure for physical AI applications, including autonomous vehicles and smart cities.

Robo.ai has agreed to acquire 100 percent of Neurovia, a company specializing in data processing and compression, for $100 million in stock according to a press release. The transaction is subject to customary closing conditions.

The acquisition is intended to accelerate Robo.ai’s development of infrastructure for physical artificial intelligence. Following completion, Robo.ai plans to upgrade its operations from video codec services to a global AI video data platform that supports applications such as robotaxis, autonomous vehicles, drones, humanoid robots, and smart city systems.

All shares issued to Neurovia shareholders will be locked for three years, followed by gradual vesting over five years. Robo.ai stated that this structure secures long-term alignment between both companies while maintaining liquidity for research, development, and expansion.

The company said it will continue focusing on integrating AI hardware, video data, edge computing, and blockchain to build a machine economy ecosystem. It is expanding its presence in the Middle East and Asia, targeting opportunities in sovereign AI infrastructure and autonomous systems.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to AI Funding Brief

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more