22 Dec 2025

Robotware.ai advances AI poultry trials in Malaysia

Korean AI firm Robotware.ai deepens Malaysian proof-of-concept trials to validate real-world poultry disease detection.

Jess Ramanee

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Robotware.ai, a Korea-based artificial intelligence (AI) company specializing in livestock intelligence solutions, is advancing its proof-of-concept (PoC) deployment in Malaysia in collaboration with the Sarawak Digital Economy Corporation (SDEC).

The initiative follows the successful implementation of its AI-powered poultry disease detection system at selected local farms and marks a key milestone in validating the technology under live commercial conditions.

Assessing real world performance

The ongoing PoC focuses on assessing the real-world performance of Robotware.ai’s system in operating poultry farms, aligning with Malaysia’s broader push toward data-driven agriculture, improved biosecurity, and digital modernization of the poultry sector.

The deployment aims to demonstrate that AI tools can move beyond laboratory environments and deliver practical value on working farms.

Robotware.ai was founded by Yongjun Cho, founder and CEO, whose background as a second-generation poultry farmer has played a central role in shaping the company’s technology.

Mr Cho currently operates two commercial poultry farms managing approximately 120,000 laying and breeding hens. His firsthand experience informed the development of AI models designed to integrate seamlessly into daily farm workflows rather than relying solely on algorithm-centric design.

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PoC in Malaysian farms

As part of the Malaysian PoC, Robotware.ai’s system is currently operating at two poultry farms, where it continuously analyzes flock behavior and acoustic signals to detect early indicators of disease.

The AI monitors abnormal inactivity and clustering patterns—commonly recognized warning signs of illness—while also applying proprietary cough-sound analysis to identify respiratory distress.

By isolating relevant sounds from complex barn noise and converting them into visualized data, the system allows farmers to identify potential outbreak zones at an early stage.

In parallel, Robotware.ai is piloting autonomous robots as part of its longer-term vision for fully unmanned poultry operations. These robots function as mobile sensor platforms, expanding monitoring coverage while supporting hygiene management tasks such as automated litter aeration.

“This PoC demonstrates that AI can operate reliably in real farming environments and deliver practical, actionable insights that farmers can trust,” said Mr Cho.

Malaysia a key market

Malaysia has emerged as a key validation market due to its enterprise-scale poultry industry, where large agribusiness groups often manage dozens or even hundreds of farms. In such settings, AI-based monitoring can significantly enhance operational transparency, strengthen biosecurity, and reduce reliance on manual oversight.

Based on progress from the initial phase, Robotware.ai is in discussions with local agribusiness groups regarding a potential scale-up to around 50 additional farms, subject to continued performance validation.

The Malaysian PoC is supported under an overseas demonstration program backed by Korea’s Ministry of Science and ICT, the National IT Industry Promotion Agency, and the Global Digital Innovation Network.

Building on its progress in Malaysia, Robotware.ai is also exploring similar PoC initiatives with large-scale poultry operators in India as part of its global expansion strategy.

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