
Pollen Sense is a deep tech company pioneering real-time, portable particle identification sensors for air quality monitoring. Their flagship product, the APS400 sensor, uses AI-powered particle identification to detect airborne particles such as pollen, mold, dust, smoke, and microplastics in real time. The company serves diverse markets including government agencies, environmental researchers, healthcare professionals, weather networks, and allergy sufferers. Their subscription-based hardware and data ecosystem provide continuous, high-resolution air quality data worldwide, enabling informed decisions for public health, compliance, and personal well-being. With over 81 million AI-analyzed frames and 7 billion particles tagged, Pollen Sense leads in allergen air quality data with patented technology and a global sensor network.

Pollen Sense is a deep tech company pioneering real-time, portable particle identification sensors for air quality monitoring. Their flagship product, the APS400 sensor, uses AI-powered particle identification to detect airborne particles such as pollen, mold, dust, smoke, and microplastics in real time. The company serves diverse markets including government agencies, environmental researchers, healthcare professionals, weather networks, and allergy sufferers. Their subscription-based hardware and data ecosystem provide continuous, high-resolution air quality data worldwide, enabling informed decisions for public health, compliance, and personal well-being. With over 81 million AI-analyzed frames and 7 billion particles tagged, Pollen Sense leads in allergen air quality data with patented technology and a global sensor network.
What they make: APS400 portable, real-time particle identification sensor + Particle Hunter AI and data platform
Primary use cases: Air quality monitoring for researchers, governments, healthcare, and consumers (allergen alerts)
Data scale claimed: 81M+ AI-analyzed frames and 7B+ particles tagged
Headquarters: Provo, Utah
Air quality monitoring and allergen detection
2015
Agriculture and Farming