FutureAir

The world’s first Smart Air Manager
SAM™

Air is about more than temperature.

Carbon Dioxide
(CO₂)

Reduces Cognitive
Functioning

CO₂ is measured in ppm (parts per million). CO₂ indoors is a colorless, odorless gas, produced by human breath. Normal CO₂ levels are 600-800 ppm (parts per million) depending how many people are in the space and how well air is ventilated.

Particulate Matter
(PM)

Affects Allergies &
Respiratory Disease

PM1 – 2.5 – 10 are measured in μg/m3 (micrograms per cubic meter). Particulate Matter is a complex mixture of solid and/or liquid particles suspended in air, measured in micrograms/cubic meter. Large particles (PM10) up to 10 microns are one tenth of the width of a human hair.

Volatile Organic Compounds
(VOCs)

Impacts Eye, Nose,
Throat Irritation & Cancer

VOCs are measured in parts per billion (ppb). VOCs include a broad range of gases from certain solids or liquids; including a variety of chemicals with varying levels of toxicity.

Temperature &
Relative Humidity

Affects Comfort & Conditions
for Mold & Viral Particulates

Temperature and relative humidity together are a good measure of levels of human comfort. Sensitivity to temperature increases with higher humidity levels.

A beacon for smart, healthy, energy-efficient air.

Senses
& Measures

Measures levels of indoor air pollutants(CO₂, PM, VOCs); temperature and humidity.

Collects
& Analyzes

Collects high resolution data
 and analyzes quality of air based
on international thresholds.

Predicts
& Initiates Solution

Activates machine learning to recognize and predict trends to solve problems before they occur.

Acts
& Improves Air

Connects with building management systems (BMS), connected air filters,, purifiers, humidifiers to improve air.

Intuitive color system

good levels
air quality

moderate levels
air quality

unhealthy levels
air quality

Real time data, insight, and analytics, accessible anywhere.

View data by hour, day, week or month(s) on FutureAir’s live dashboard with access to raw data for the more granular data.  SAM™ detects patterns over periods of time (minutes, hours, days, months) to identify and solve indoor air quality problems.

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Like nature, SAM™ responds intelligently to subtle changes in atmospheric conditions.

                                           – Ross Lovegrove