VASRO: Ainos Expands Smell AI from Industrials into Healthcare Infrastructure, Reinforcing AI Infrastructure Positioning and Multi-Vertical Scalability

2026 Identified as a Key Scale-Up Phase with Expanding Market Verticals and Accelerating Data Flywheel

HOUSTON, TX / ACCESS Newswire / April 17, 2026 / Ainos, Inc. (NASDAQ:AIMD)(NASDAQ:AIMDW) today highlighted the continued expansion of its Smell AI deployments, powered by AI Nose, across semiconductor, robotics, and healthcare infrastructure, highlighted by recent third-party research published by VASRO GmbH. The report underscores Smell AI's progression from isolated sensing applications to scalable multi-domain AI perception platform and identifies 2026 as a key scale-up year as Ainos moves toward deployment and repeatable revenue generation.

The report highlights growing visibility into Smell AI's transition from ecosystem development to real-world deployment, with increasing emphasis on converting deployments into repeatable revenue-generating programs across multiple environments.

As part of this expansion, Ainos is initiating deployment of Smell AI within hospital infrastructure through collaboration with MacKay Memorial Hospital and Topco Scientific Co., Ltd. Initial applications focus on environmental monitoring and safety across power and electromechanical systems, HVAC infrastructure, chemical handling environments, and clinical laboratory settings, including MRI facilities.

According to the report, these environments position Smell AI as an early perception layer for otherwise invisible environmental signals, including chemical exposure and airborne germs, supporting improved safety and operational resilience in hospital settings.

The hospital deployment positions Smell AI to extend beyond its established semiconductor and industrial use cases into another high-standard operating environment, reinforcing its ability to scale across real-world infrastructure. The report also highlights Smell AI's evolution toward broader platform adoption through AI Nose, which converts invisible scent signals into structured, machine-readable Smell ID data that can compound across deployments.

Ainos continues to advance its Smell AI architecture, including Smell ID and its Smell Language Model (SLM), which support a data flywheel designed to improve learning, model refinement, and performance as deployment activity grows.

"We are building Smell AI-powered by AI Nose-as a new layer of AI infrastructure that enables machines to sense, learn, and predict invisible scent signals, helping to define a new layer in physical AI," said Eddy Tsai, Chairman, President and CEO of Ainos. "Our expansion into healthcare infrastructure, alongside ongoing deployments in semiconductor and robotics, reflects the growing real-world applicability of Smell AI across multiple environments."