One Gasmaster Holdings Bhd Seeks Listing on ACE Market with IPO
PorAinvest
jueves, 10 de julio de 2025, 5:40 am ET1 min de lectura
AIMD--
The deployment roadmap outlines an initial evaluation phase of approximately 1,400 AI Nose units across ASE’s sites, including those operated by its subsidiary, Siliconware Precision Industries (SPIL). This will be followed by Phase 1, scaling to around 5,000 units integrated throughout cleanrooms and key production zones. Phase 2 will complete the rollout, ultimately targeting up to 15,000 units across ASE’s global operations [1].
AI Nose digitises scent into machine-readable Smell IDs using Ainos’ proprietary Smell Language Model (SLM), introducing a new sensory intelligence layer within advanced manufacturing environments. The platform offers real-time VOC anomaly detection, facility environmental sensing, and automated ESG compliance monitoring [1].
Eddy Tsai, Chairman, President, and CEO of Ainos, described the expanded partnership as a pivotal step in the company’s strategy to introduce digital olfaction into industrial settings on a global scale. He noted that the deployment model with ASE could act as a blueprint for similar installations across other advanced manufacturing sectors, supporting broader adoption of smart sensing technologies and automated ESG compliance frameworks [1].
This partnership is significant for Ainos, as it validates their technology and opens up a substantial global rollout opportunity. The deployment model with ASE could generate stable recurring revenue for Ainos on an annual basis, with multi-million annual revenue potential in the coming years [1].
References:
[1] https://cleanroomtechnology.com/ainos-to-deploy-ai-driven-environmental-sensing-tech
One Gasmaster Holdings Bhd is seeking a listing on the ACE Market of Bursa Malaysia. The company is involved in environmental monitoring, gas detection, and other services. Its initial public offering will consist of 77.5 million new ordinary shares, with the proceeds to be used for business expansion and capital expenditure.
Ainos, a US-based specialist in AI-driven scent digitisation technology, has expanded its strategic partnership with ASE Technology, a Taiwan-based provider of semiconductor assembly and test services. The collaboration involves the phased deployment of Ainos’ AI Nose platform, a digital olfaction system designed to enhance environmental monitoring, safety, and ESG reporting within cleanroom and production environments [1].The deployment roadmap outlines an initial evaluation phase of approximately 1,400 AI Nose units across ASE’s sites, including those operated by its subsidiary, Siliconware Precision Industries (SPIL). This will be followed by Phase 1, scaling to around 5,000 units integrated throughout cleanrooms and key production zones. Phase 2 will complete the rollout, ultimately targeting up to 15,000 units across ASE’s global operations [1].
AI Nose digitises scent into machine-readable Smell IDs using Ainos’ proprietary Smell Language Model (SLM), introducing a new sensory intelligence layer within advanced manufacturing environments. The platform offers real-time VOC anomaly detection, facility environmental sensing, and automated ESG compliance monitoring [1].
Eddy Tsai, Chairman, President, and CEO of Ainos, described the expanded partnership as a pivotal step in the company’s strategy to introduce digital olfaction into industrial settings on a global scale. He noted that the deployment model with ASE could act as a blueprint for similar installations across other advanced manufacturing sectors, supporting broader adoption of smart sensing technologies and automated ESG compliance frameworks [1].
This partnership is significant for Ainos, as it validates their technology and opens up a substantial global rollout opportunity. The deployment model with ASE could generate stable recurring revenue for Ainos on an annual basis, with multi-million annual revenue potential in the coming years [1].
References:
[1] https://cleanroomtechnology.com/ainos-to-deploy-ai-driven-environmental-sensing-tech

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