Sensio Air provides patented technology to detect, identify, and characterize airborne biological particles in real-time. The system differentiates between specific allergens such as mold, dust mites, pollen, and dander, providing actionable insights to users. Through a network of deployed sensors and a growing particle database, the company enables proactive management of indoor and outdoor air quality.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals and organizations face challenges in accurately identifying and quantifying airborne biological contaminants, such as mold, dust mites, pollen, and dander. This lack of real-time, granular data hinders proactive environmental management and the prevention of health issues triggered by allergen exposure.
Solution
Sensio Air provides a patented real-time detection and identification system for airborne pathogens. The platform leverages advanced sensor technology to analyze particle composition down to the micron level, differentiating between specific biological agents like mold species, pollen types, dust mites, and pet dander. Users receive instant notifications and actionable insights via a cloud-based analytics platform, enabling them to proactively manage environmental allergen levels and mitigate health risks. The system also offers an API for real-time data integration and an expanding library of biological particle signatures, with the capability for custom identification requests.
Target Audience
The primary target audience includes individuals seeking to manage allergies and respiratory conditions, as well as organizations such as allergists, building managers, and public health entities focused on indoor air quality and environmental health monitoring.
Features
- Patented technology for real-time detection and identification of airborne biological particles.
- Granular analysis of particle composition down to the micron level.
- Differentiation of specific allergens including mold (e.g., Alternaria, Cladosporium, Aspergillus), pollen (tree, grass, weed), dust mites, and pet dander.
- Real-time API for data streaming and integration with external systems.
- Expanding cloud-based library of biological particle signatures with monthly updates.
- Capability for custom identification requests for particles above 1 micron.
- Instant notifications and actionable recommendations for environmental management.
- Secure cloud infrastructure for data processing and storage.