The Problem

Methane is a potent greenhouse gas with 28 times the warming potential of carbon dioxide.

Landfills are among the biggest producers of methane in North America, accounting for 24% of the continent’s emissions.

In Canada, incoming federal regulations will require landfills to conduct more stringent methane surveillance starting in 2024.

Manual methane monitoring at landfills using handheld probes is labor-intensive and error prone. Meanwhile, existing IoT monitors are inadequate due to the prohibitive cost of covering entire landfills, limited cellular connectivity, high-power consumption, and harsh outdoor environments.

Spero Analytics solved all those problems.

What We Do

Spero Analytics builds self-organizing, self-healing mesh networks for environmental sensing applications – particularly for greenhouse gas monitoring. Our networks are ultra scalable, require no telecom infrastructure, and have a very long range.

If you want environmental data collected at a large scale and high resolution, we can build you a turnkey solution which delivers this data in a clean, customizable, graphical interface.

How it Works

Our remote monitoring networks consist of up to 100 low-cost sensory nodes which communicate data through the network using Long Range Radio (LoRa), a reliable communication protocol with a range of 3+ km and does not require line-of-sight between nodes. Once the data arrives at the gateway, it is published to the cloud over Wi-Fi, cellular, or satellite uplink.

Pilot Test

Since 2020, our team has been collecting environmental data at Koffler Scientific Reserve, a 1,000 acre research site north of Toronto.

Our model network consists of 14 sensory nodes which have been recording measurements year-round in -30 to +30 degree Celsius temperatures. Our projected battery life for each node based on our testing is 2 years.

Unique Value

Our network is built on CottonCandy, a proprietary LoRa mesh algorithm which is custom-designed to ensure network reliability. The network can be configured remotely using a simple interface which provides data on the health of the network.


Our network is uniquely suited for remote monitoring of:

  • Landfill gas
  • Orphan wells
  • Gas pipelines
  • Subsurface mines
  • Structural health of civil infrastructure