Core Insights - Ainos, Inc. is implementing a long-term strategy to digitize smell as a data language for AI, recognizing the opportunity in transforming one of the last major human senses into a structured format [2][4] - The company has developed a dual-engine platform architecture, separating sensing hardware from AI intelligence to enhance scalability and long-term value creation [4][5] Group 1: Platform Strategy - Ainos aims to create a layered SmellTech platform, AI Nose, which integrates sensing hardware and AI capabilities to ensure data consistency and scalability [3][4] - The separation of roles between Ainos and its subsidiary ScentAI allows for focused development in sensing and AI, reducing operational friction and clarifying governance [5] Group 2: Smell Language Model (SLM) - ScentAI is tasked with developing the Smell Language Model (SLM), which will classify and contextualize scent data, enabling it to be used as a scalable AI-native data asset [6] - The SLM is expected to facilitate monetization through enterprise APIs, SaaS offerings, and model licensing, while Ainos retains ownership of core datasets [6] Group 3: 2026 Execution Priorities - In 2026, Ainos will focus on deploying its technology in advanced semiconductor manufacturing and robotic applications, which require high precision and reliability [7] - These initial applications are seen as a strong entry point into the industrial market, with plans for broader deployment as the platform scales [7] Group 4: Long-Term Value Creation - As deployments of the AI Nose platform expand, the volume of scent data will increase, enhancing the Smell Language Model and creating a feedback loop that supports recurring revenue streams [8] - Ainos maintains control over the sensing layer, which is crucial for the platform's integrity and long-term success [8]