Sensio Air utilizes patented sensor technology to detect and identify airborne pathogens and allergens in real-time, including mold, pollen, pet dander, and dust mites. This technology provides critical air quality data, enabling individuals and businesses to monitor environmental conditions and manage respiratory health risks effectively.
Funding
$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Monitoring airborne allergens and pathogens traditionally requires lab analysis, resulting in delayed feedback and limited ability to proactively manage indoor air quality. Existing technologies often lack the specificity to identify individual particles, hindering targeted interventions for respiratory health and environmental control.
Solution
Sensio Air offers a real-time air quality monitoring solution using patented sensor technology to detect and identify airborne particles, including mold, pollen, pet dander, and dust mites. The system provides continuous monitoring and analysis of indoor air, delivering actionable data to individuals and businesses. By identifying specific allergens and contaminants, Sensio Air enables proactive management of respiratory health risks and optimization of indoor environments. The device leverages a proprietary Biosignature Database and spectral analysis to identify a wide range of biological and non-biological particles, with remote updates to expand detection capabilities.
Target Audience
The primary target audience includes individuals with respiratory sensitivities, businesses seeking to improve indoor air quality for employees and customers (offices, schools, medical facilities, retail), and industries requiring precise environmental monitoring (HVAC, AgTech).
Features
- Patented sensor technology for real-time identification of airborne particles
- Detection of common allergens: pollen (tree, grass, weed), pet dander (cat, dog, mice), mold (Alternaria, Aspergillus, Cladosporium), and dust mites
- Biosignature Database for classifying and identifying particles
- Spectral analysis for particle identification without consumables or maintenance
- Remote updates for expanding particle identification capabilities
- Customizable detection for specific particles of concern
- Mobile app for 24/7 access to real-time air quality data
- Integration with HVAC, AgTech, Consumer Electronics, and Refrigeration systems
- API integration for displaying air quality data (pollen, pollution, weather) in over 350 cities