A FORCE FOR GOOD
Pratexo = A Catalyst for Sustainability
We are on a mission to unlock the full potential of sustainability solutions requiring micro clouds at the edge.
We know that these technologies are needed to succeed in transitioning to smarter, greener, cleaner, and safer societies. We are here to help you scale and accelerate your journey towards reaching your goals in the most sustainable way.
Sustainability Solutions Powered by Pratexo
By running scalable, resilient, and intelligent applications and analytics in real time, close to where the source data is generated, we help you unlock the full potential of that data.
In this way, Pratexo enables solutions that provide a robust foundation for making optimal decisions and taking actions that accelerate your sustainability journey.
Five Pillars of the Pratexo Sustainability Solutions
There are five key ways in which the Pratexo platform can support you in reaching your sustainability goals:
The real-world impacts of these pillars
Three Examples of Sustainability Solutions Powered by Pratexo
IMPROVING THE EFFICIENCY OF THE ELECTRICAL GRID
HKN Norwegian Electric Utility
By using Pratexo’s edge and micro cloud platform at decentralized transformer strations, HKN is working to increase the uptime of their electrical grid from 99.5% to 99.999%, allowing for even more mission-critical systems to be taken off of liquid fuels and out of the carbon cycle.
REDUCE THE IMPACT OF WINDMILLS ON BIRD POPULATIONS
European Wind Power Provider
Edge micro cloud technology at the base of each windmill, combined with artificial intelligence algorithms, are used to monitor and identify bird flights near windmills, enabling the windmill to alter its operations in real time. Making windmills safer for bird populations will ensure the expanded use of this critical technology to generate green electricity.
REDUCE C02 EMISSIONS
Global Cement Company
Internet of Things sensors generate data that is processed by machine learning algorithms running on a Pratexo micro cloud at the plant ‘edge’. By processing this data in real time, machine uptime and efficiency are maximized, helping to significantly reduce CO2 emissions.
Our Guiding Principles