Ainos partners with Kenmec to scale AI smell detection technology

Published 24/06/2025, 13:14
Ainos partners with Kenmec to scale AI smell detection technology

SAN DIEGO - Ainos, Inc. (NASDAQ:AIMD), a micro-cap technology company with a market value of $10.4 million, has formed a strategic partnership with Taiwan-based Kenmec Mechanical Engineering Co., Ltd. to scale its AI Nose and smell language model technologies for industrial applications, according to a press release statement. According to InvestingPro data, Ainos operates with significant debt and shows a concerning cash burn rate.

Under the agreement, Kenmec will receive a commercial license to deploy AI Nose in automation solutions, while Kenmec affiliate Kentec Inc. will manufacture AI Nose product lines. The companies plan to showcase their technologies at Automation Taipei 2025 in August.

The partnership targets integration of smell detection technology into robotics, HVAC systems, public infrastructure, airports, logistics, medical facilities, and food quality monitoring environments.

Ainos’ AI Nose technology digitizes scent into what the company calls "Smell ID," allowing machines to detect and interpret odors. This follows Ainos’ previous implementations in Japan’s eldercare sector and in semiconductor manufacturing with ASE across 56 unmanned smart factories.

"By integrating AI Nose, we’re upgrading our automation systems with a new sensory layer, enabling real-time environmental diagnostics in smart logistics and unmanned operations," said Hsieh, Ming-Kai, Chairman of Kenmec Group.

The collaboration aims to incorporate smell recognition capabilities into Kenmec’s automation systems for environmental awareness and anomaly detection in industrial settings.

Ainos cited market research projecting the digital scent technology market to grow from $1.09 billion in 2023 to $2.56 billion by 2032, while the electronic nose market is forecasted to reach $132.6 billion by 2034. However, InvestingPro analysis reveals that analysts anticipate a sales decline in the current year. Get access to 5 additional ProTips and comprehensive financial metrics to make better-informed investment decisions.

Kenmec Mechanical Engineering, founded in 1976, is publicly traded on the Taiwan Stock Exchange (TWSE:6125) and provides automation and smart logistics solutions across multiple industries. For Ainos investors, it’s worth noting that the stock has shown high volatility with a beta of 2.22 and has declined 40.6% over the past year. The company’s financial health score is rated as WEAK by InvestingPro analysts.

In other recent news, Ainos, Inc. reported its first revenue from the deployment of its AI Nose technology in Japan’s senior care sector, with a notable 412% increase in Q1 revenue year-over-year. The company has received regulatory approval in Taiwan to begin human clinical trials for its VELDONA oral interferon treatment, targeting HIV-related oral warts and primary Sjögren’s syndrome, with patient enrollment expected in the latter half of 2025. Ainos has partnered with ugo, Inc., a Japanese robotics company, to integrate its smell detection technology into service robots, with field testing scheduled to begin later this year. The AI Nose platform, which uses MEMS gas sensors and AI algorithms, has improved its accuracy to 85% from 80% in elder care applications.

Additionally, Ainos has formed a collaboration with ASE to incorporate its technology into smart factory operations, with pilot deployments planned. In veterinary applications, ongoing trials in Taiwan for feline chronic gingivostomatitis showed symptom improvements among test subjects. The global electronic nose market, to which Ainos’ SmellTech belongs, is projected to grow significantly, with a compound annual growth rate of 14.4% expected. The company is also working with Japan’s leading service robotics firm to incorporate AI Nose into autonomous robots, potentially introducing olfaction into smart care. These developments position Ainos at the forefront of the emerging SmellTech market.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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