A Smarter Solution

There are 8 million global data centers 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 eliminate unmanned devices and eliminate potential network weak points. Once problem areas are found we offer easy to deploy custom security solutions to prevent future issues.

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.

Penetration Test - PenTest

Our first objective is to perform a penetration test. This will expose not only potential security issues but will locate antiquated “comatose” equipment that is still connected to the overall network, plugged in using power, while providing nothing to your system’s performance. The greater part of the federal IT budget of the United States $80 billion, goes to maintaining legacy systems. Federal agencies employ over 1,000 COBOL and 600 Fortran developers. Companies that spend 60% to 80% of their IT budget on maintaining legacy systems do so at the expense of innovation since there is precious little time left to prepare for the future once you’ve finally finished installing patches. You can’t consider modernizing until you design a replacement system, which is a long & costly process. 

Model Deployment - 30+1

File organization can be the key factor in data management. Our model was developed to include customized rule sets that include industry regulations and unique enterprise policies for each organization. The file determines when and where it’s moved. We take this point out of the equation allowing you to focus on your core business, giving a boost to your top and bottom. The facts are data centers use lots of power. We believe the best approach to permanently reducing consumption is moving data offline. Our model was developed around files in use and when the information was last accessed. 30+1 is our strategy for time and re-programing network rules on how we accomplish data placement and data recall.

30+1 File Structure

Once we have completed our penetration test and implemented our 30+1 file organization structure. We will be able to have a much clearer idea of what possibilities exist for your data center’s ability to reduce power use as compared to productivity. We will be able to give you a clear plan of action that is suited specifically to your data center, its location, cost of power, climate, distance from end-users, and main use of purpose. At this point, you can plan out how to bring your data center to optimal performance at optimal efficiency and how long it will take with the budget you have available. It’s easy to just give a complete list of equipment and upgrades that would get you there, however, we understand your running a business and budget constraints are a reality. So our goal is to get you there as quickly as we can while providing a positive effect to your bottom line while doing so.

IoT HVAC Tool gets deployed

The existing Building Energy Management System (BEMS) has been built on the traditional network with various sensors, and computing hardware systems, and mostly deployed by the large commercial buildings. Conventional major players are hard to quickly shift to the software solutions using AI, which will cannibalize existing system businesses Some of the startups are taking opportunities to capture AI based BEMS and Smart Buildings with and without sensors for the large through small buildings Smart Locus can fill this gap by using Add-on AI sub-system to the existing hardware systems for the large buildings, and its technology team will help migrate to the smart building system integration. 

HVAC Word Map

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