We believe that the solution to remaining a thriving society during climate change is to be informed.
We serve businesses of all sizes, large corporate and industrial organizations, governments, educational institutions, civic groups, and individuals.
Casting a net of sensors lets you:
- Monitor business assets that are vulnerable to climate events or changes
- Economically monitor environmental conditions at a scale important to you
- Inform policy-makers about their local micro-climate to guide resilience planning
- Inform the public of local greenhouse gas emissions and the effectiveness of mitigation measures
- Fill gaps in current datasets and reduce uncertainty in decisional information
Our goal is to connect everyone to their climate through monitoring.
Global-scale climate information is derived from a few thousand weather and ocean instruments, mostly located at the world’s airports. Most communities have little to no environmental information where their people live and work. Most weather observations are miles away from your company’s nearest assets. Can you be sure that the observations at the airport, 20 miles away are relevant to your home, your business, or your community? If your home were damaged by a severe thunderstorm, but the nearest weather observation reported no wind or rain, who would your insurance company believe?
Having localized, verifiable environmental information is essential to risk management and planning.
Even a half degree discrepancy in temperature forecasts over the coming season can cost a community millions of dollars in commodities such as road salt, heating fuel, electrical demand, or water use.
Example Case 1:
If you were the CEO of a major energy company, and you knew that summer temperatures would rise by 1C over the next ten years across a city, you would know that you needed to build an additional substation to handle the extra demand. But where should it go? Where in that city is the greatest demand most likely? Does it matter? Since energy is lost to transmission, it most certainly does. Having a micronet of sensors around the city to isolate the areas of likely peak demand can refine the positioning of the substation and save the company millions in transmission losses.
Example Case 2:
Imagine if you will, you have received one elevation observation for a plot of land you intend to purchase for farming. Based on that one elevation, you assume the land is flat. Then you receive a second, different, observation from elsewhere on the plot. Now you think that the plot has a uniform gradient. Add in two more observations and a hill appears in the middle of the plot of land. After a few dozen observations, you realize that you were about to buy a mountain side plot completely unsuitable for farming. The same can be said for environmental observations. One or two distant observations is unlikely to paint an accurate picture of the true conditions. Only an ever growing suite of observations can do that.