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Piera Systems

Piera develops Intelligent Particle Sensors (IPS) and Canāree Air Quality Monitors that utilize advanced AI and machine learning to accurately measure and classify particulate matter and indoor pollutants. Their technology provides real-time air quality data, enabling compliance with health standards and improving indoor air quality to mitigate health risks associated with poor air conditions.

Mississauga, CanadaFounded 20189300+ followers
Updated 4 months ago

Funding

$3M 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.

Funding rounds are not available yet.

Founders

Product

Problem

Monitoring indoor air quality to comply with health standards and mitigate health risks associated with poor air conditions is challenging due to the limitations of existing air quality measurement technologies. Traditional methods often lack the accuracy and comprehensiveness needed to identify specific pollutants and their sources in real-time.

Solution

Piera develops Intelligent Particle Sensors (IPS) and Canāree Air Quality Monitors that utilize advanced AI and machine learning to accurately measure and classify particulate matter and indoor pollutants. Their sensors provide comprehensive, real-time air quality data, enabling users to identify and address specific pollution sources. The company's technology delivers mass and particle counts across the entire spectrum of particulate matter, from PM10.0 to PM0.1 microns, allowing for the classification of specific pollutants.

Target Audience

The primary customers are organizations needing to comply with air quality standards, building managers, and individuals concerned about indoor air quality and its impact on health.

Features

  • Intelligent Particle Sensors (IPS) optimized to measure and count particulate matter with accuracy.
  • Canāree Air Quality Monitors that build on IPS sensors with cloud integration for real-time data.
  • AI/ML techniques for pollutant classification.
  • Measures mass and individual particle counts across the entire range of small, fine and ultra-fine particulate matter (PM10.0 to PM0.1 microns).
  • Real-time dashboard for air quality information.
This profile is AI-generated and may contain inaccuracies.