0M+
frames analyzed by AI
APS400
Meet the real-time portable particle identification sensor.
The APS400 is the world’s first real-time portable particle identification sensor. It images and identifies more than 98% of collected airborne particles, recognizes sizes from 0.3 to 158 microns in real time, and adapts collection based on particle load.
Operating Scale
Built for long-running field deployments.
The production sensors page leads with concrete performance and operating scale. Those same monitoring and AI stats anchor this rebuild.
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particles tagged to date
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new frames added weekly
0M+
hours of accumulated monitoring time
584 years of field testing
Deep tech, real world.
Pollen Sense brings together technologies from aerospace, AI, robotics, and computer vision in a category that was long underserved by modern tooling: airborne environmental monitoring.
The APS400 represents a shift from estimated forecasts to actual on-the-ground measurements powered by machine learning, built for scale, and designed for impact.
System Design
A sensing stack designed for scale.
From optics to AI classification and adaptive collection, the APS400 is structured as a real deployment platform rather than a lab-only experiment.
Collection
Adaptive cartridge life based on real-time particle load.
Classification
Proprietary Particle Hunter AI identifies collected airborne particles.
Delivery
Subscription-based hardware for scalable, cost-effective monitoring.