The application of scientific knowledge for practical purposes, especially in industry. “advances in computer technology”
  • Machinery and equipment developed from the application of scientific knowledge. “it will reduce the industry’s ability to spend money on new technology”
  • The branch of knowledge dealing with engineering or applied sciences.

A Smarter Solution

There are currently over 8 million global data centers, ranging from a server room in the offices of large enterprises and the amount of storage currently used doubles every 22 months. By 2025 we will have saved approximately 175-200 Zettabytes (ZB) worth of files. Since 2012, DC’s have emitted more Greenhouse Gas than the entire global airline industry. Stored files and more specific data centers have a significant impact on climate change. The time to intervene and improve how we save information is now. 

Where things stand in the data center sector

The Current Environment

On average we use no more than 5% of the information that is stored locally on our device’s. An eye-opening fact is no more than 2% of what is stored remotely or “in the Cloud” is used. There are two reasons the solution was developed. The amount of energy technology requires keeps increasing and there is a large amount inefficiency throughout the entire data storage process. For example, information maintained on storage devices always remains powered on. This means every storage device at data centers are drawing power 24/7/365.

The Process

Our process starts with the penetration test, which will identify any weak points in your network, as well as, locate any unmanned devices that are using power and taking away from network performance.

The next phase is applying our 30+1 file allocation model. Our model enables enterprises to place, store and recall files using less energy. Using business rules we make the network believe that some powered down devices are still on, saving energy while providing the data on-demand with minimal latency.

Then we apply our cloud AI system cooling solution. Which will focus on cooling the specific areas of your network, that need it the most, while saving energy where you don’t.

“Managing data is simplified”

Phase 01

Penetration Test

A pen test helps us to locate and eliminate unmanned devices as well as to find potential network weak points. Once problem areas are found we offer easy to deploy custom security solutions to prevent future issues. We get a map of the entire network and use it to imporove performance.

Phase 02

Model Deployment - 30+1

Our technology works with any file type or size. It was designed to work in most native languages and is deployable in real-time. Designed using an open-source platform specifically to remain agnostic to both data center hardware and software.

Phase 03

IoT HVAC Tool gets deployed

The most recent addition to our solution and one of the most powerful. Developed with AI and Machine Learning, this cloud solution is the only tested and proven technology that’s 100% effective at reducing energy used for cooling data centers by 30% or more.

According to the National Resources Defense Council (NRDC), “Nearly 3 million U.S. data centers help power our economy, make our lives easier, and render our buildings and electricity grid ‘smarter.” At the same time, data centers are now rapidly driving the construction of new power plants as they become one of the nation’s largest and fastest-growing consumers of electricity. As organizations evaluate their optimization and sustainability options, in many cases it is the existing data center facilities that continue to carry the proverbial load. Implementation of more highly efficient power and cooling designs plays a significant role in saving money and recouping earlier investments in the data center.

IT continues to evolve at a rapid rate, introducing changes few data center designers could have anticipated
a decade or more ago.


“Out of clutter find simplicity. From discord, find harmony. In the middle of difficulty, lies opportunity.”

Albert Einstein – Theoretical Physicist & Nobel Laureate