AI Semiconductor startup Rebellions and water purification robot and AI specialist Ecopis said on the 8th they signed a strategic memorandum of understanding (MOU) and will accelerate the commercialization of an autonomous surface purification robot based on a domestically developed Neural Processing Unit (NPU).
Through this agreement, the two companies plan to preempt the rapidly growing global "physical AI" market and move in earnest to build overseas sales pipelines, including in the Middle East.
The core of the agreement is the technological convergence of a domestic AI Semiconductor and a surface robot. The two companies will cooperate around three pillars: developing and commercializing a surface robot solution based on a domestic NPU, discovering joint business models for water purification robots and AI, and jointly entering overseas markets. The goal is to advance the autonomous purification system by integrating precision AI modules into the robot, including real-time video analysis, AI-based distance measurement, and autonomous route optimization.
The first target for market penetration is the Middle East. Middle Eastern oil-producing countries such as Saudi Arabia face worsening seawater pollution at crude oil production sites, but struggle with restrictions on personnel access and difficulties predicting when and where pollution will occur. As a result, demand is rapidly increasing for unmanned surface robot solutions that automatically detect pollution sources and perform autonomous purification work, centered on major corporations such as Aramco.
The two companies have already completed technology verification. Through the "AI Semiconductor Overseas Field Test Support Project" overseen by the Ministry of Science and ICT and implemented by the National IT Industry Promotion Agency (NIPA), they completed integrated operational verification of real-time surface pollutant detection and autonomous purification solutions in local waters in the United Arab Emirates (UAE). They said they demonstrated improved processing performance and power efficiency compared with existing systems, drawing interest from the local government and port management authorities.