SANIX · PRODUCT 2026
Sanix AI/AR Glasses
Helps hospital and lab workers detect contamination risk in real time and provides spatial AR/AI guidance to support safer, faster, and more reliable cleaning.
[ Overview ]
The Problem
Frontline sanitation teams at hospital and labs, such as CVS workers, struggle to detect contamination risk during cleaning workflows, causing preventable exposure risks and delayed validation of cleaning quality.
Over 90% of contamination risk cannot be detected thru visual inspection alone
90%1 in 31 patients acquires a healthcare-associated infection during care
1 in 31
[ Research ]
Background Research
Through background research, we uncovered critical gaps in hospital cleaning workflows—where time constraints, partial verification, and rapid recontamination limit real effectiveness.
Hospital workers report time pressure as a major barrier to thorough cleaning.
Cleaning verification depends on sampling, not full environmental validation.
High-touch surfaces can be re-contaminated within minutes of cleaning.
User Research
User research revealed that the cleaning stage creates the highest cognitive and emotional load, as frontline workers operate without real-time visibility into contamination risk.
Competitor Analysis
Comparative analysis revealed a clear gap: existing solutions operate in silos, addressing either contamination detection or cleaning workflows, but none integrate both into a cohesive, real-time system like Sanix.
[ Solutions ]
3 Key Features
Real-Time Risk Mapping
Makes invisible contamination risk visible in real time and highlights high-risk surfaces so workers can focus cleaning efforts where it matters most.
Adaptive Cleaning Guidance
Guides workers through cleaning based on real-time contamination risk and room priority, helping them clean critical areas first and manage time pressure.
Cleaning Verification
Uses image capture and AI analysis to document cleaning completion, generate proof of cleaning quality, and automatically support compliance reporting.
Information Architecture
Sanix is designed around an Ambient Scan as the default state, passively capturing environmental data without requiring user input. This allows workers to stay focused on their tasks while the system continuously detects room context and contamination risk in the background. The information architecture is structured into four core areas—Live Risk Mapping, Cleaning Guidance, Verification, and Settings—aligning directly with the natural workflow of CVS workers. By organizing features around their existing mental model, the system minimizes navigation, reduces cognitive load, and supports quick, in-the-moment decision-making.
[ Outcome ]
Product Overview
Core Flow 1: Real-Time Risk Mapping
Makes invisible contamination risk visible in real time by mapping and highlighting high-risk surfaces within a space, enabling workers to clearly understand where attention is needed most. This allows cleaning efforts to be directed more efficiently, reducing guesswork and ensuring critical areas are consistently addressed.
Core Flow 2: Cleaning Verification
Uses image capture and AI analysis to document cleaning completion, generating verifiable proof of cleaning quality while automatically supporting compliance reporting. By capturing visual evidence and analyzing surface conditions, the system reduces reliance on manual checks and ensures consistent, traceable validation across rooms.
Core Flow 3: Adaptive Cleaning Guidance
Provides step-by-step cleaning guidance through a dynamic task list informed by real-time contamination data and room priority, paired with a dwell timer that reinforces proper cleaning duration,supporting faster, more confident decision-making under time constraints.
[ Reflection ]
If I had more time...
With further development, Sanix could extend beyond smart glasses into an intelligent sanitation infrastructure, combining predictive infection intelligence, hospital-wide risk analytics, and a human–autonomous cleaning ecosystem to enable proactive, system-level infection prevention.