Ainos (AIMD) Investor presentation summary

Market opportunity and vision

• Smell is identified as the missing data layer in AI, with current AI systems lacking olfactory data integration.

• Digitizing smell into data (Smell ID) creates a new opportunity for AI to interpret and utilize scent information.

• SmellTech-as-a-Service is positioned as a scalable, recurring revenue model combining hardware and AI.

Technology and platform

• AI Nose system detects trace odors at ppb-level sensitivity with real-time response and multi-sensor fusion.

• Smell Language Model (SLM) contextualizes Smell ID using deep learning and a scent database.

• Cloud-based management enables remote monitoring and multi-site deployment.

Industry applications and partnerships

• Initial focus on smart manufacturing, where early scent detection improves yield and efficiency.

• Secured a 1,400-unit, $2.1M, 3-year deployment in semiconductor factories, with a roadmap up to 20,000 units.

• Partnerships with TSC and Trusval expand access to chip manufacturing and fab infrastructure, with minimum commitments for hundreds of units.

• Collaboration with MiRLE enables robots and robotic dogs to detect hazardous environments and support security and inspection.