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Sterıbee

Sterıbee offers an advanced smart shoe hygiene system that sterilizes footwear in seven minutes using hybrid UVC-C light, AI‑controlled heat, and vacuum filtration to eliminate pathogens at the DNA level.

Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Footwear creates a warm, humid environment that promotes bacterial growth, leading to foot infections, unpleasant odors, and degradation of shoe materials. Users lack convenient methods to regularly disinfect shoes and monitor foot health, resulting in increased health risks and shortened product lifespan.

Solution

Sterıbee delivers an IoT‑enabled smart shoe hygiene device that sterilizes footwear in seven minutes using a hybrid UVC‑C light, AI‑controlled heat, and vacuum filtration. The system destroys pathogens at the DNA level while gently drying shoes to prevent material deformation. Real‑time sterilization reports are sent to a mobile app, allowing users to track each cycle. Integrated AI algorithms analyze sweat composition captured during the process to detect early signs of diabetes and metabolic changes. Collected health data can be anonymously shared within a cloud network for family health monitoring. By extending shoe life up to 40%, the device also reduces the environmental impact of the fashion industry.

Target Audience

Primary customers are health‑conscious consumers, athletes, and individuals with diabetes or foot‑infection risk who seek regular shoe disinfection and health monitoring, as well as retailers and shoe manufacturers aiming to offer added hygiene services.

Features

  • Hybrid 254 nm UVC‑C light that fragments microbial DNA within seconds
  • AI‑driven heat management that adapts to shoe material for deformation‑free drying
  • Vacuum air extraction combined with carbon filtration to remove contaminated air and VOCs
  • IoT connectivity delivering instant sterilization cycle reports to a dedicated mobile app
  • Sweat analysis algorithms that identify biomarkers for diabetes and metabolic disorders
  • Cloud platform for anonymized aggregation of foot health data across family members
  • Energy‑efficient design contributing to sustainable shoe usage and reduced waste
This profile is AI-generated and may contain inaccuracies.