The startup operates an urban air quality monitoring network that utilizes sensor meshes connected to a software platform for real-time data collection and analysis. This technology enables businesses to identify pollution hotspots and assess the health and economic impacts of urban air pollution.
Funding
$5.9M 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
Existing air quality monitoring relies on a limited number of sensors, resulting in inaccurate and unreliable data that fails to capture hyperlocal pollution variations. This lack of granular, real-time information hinders effective decision-making for individuals, companies, and governments aiming to reduce pollution exposure. The current data is insufficient for addressing the health impacts and economic costs associated with air pollution.
Solution
AirSensa provides a comprehensive environmental monitoring solution by deploying dense sensor networks and a scalable software platform (STORRM) to collect and analyze hyperlocal air quality data in real-time. The sensor meshes, comprising hundreds or thousands of low-cost sensors, generate granular, continuous readings, enabling accurate mapping of pollution and identification of transient hotspots. The STORRM platform integrates diverse environmental data, autonomously manages sensors, and utilizes machine learning to deliver actionable insights. This approach empowers individuals to make informed decisions, enables companies to track their pollution footprint, and supports governments in implementing effective pollution reduction strategies.
Target Audience
AirSensa targets governments, industrial and commercial customers (e.g., manufacturing, energy generation, chemical industry, waste facilities, housing estates, and hospitals), and individuals seeking to understand and manage air pollution exposure.
Features
- Dense sensor meshes for hyperlocal, real-time air quality monitoring
- Scalable STORRM software platform for data acquisition, analytics, and autonomous sensor management
- Integration of diverse environmental data beyond air quality
- Machine learning algorithms for identifying pollution hotspots and predicting pollution patterns
- Customizable external sensor units to fit specific environmental conditions
- Internal sensor range based on AirSensa v3 reference architecture for various applications (commercial offices, schools, hospitals, etc.)
- Data reporting directly into existing BMS or other systems with optional text alerts
- Calibration facility for testing and validating sensor performance against statutory-grade reference devices