Smart Buildings





The Benefits of Smart

Creating or transforming a building into a smart building is beneficial for both the owner and the organizations working within. These benefits range from energy savings to productivity gains to sustainability. Smart building strategies can reduce energy costs, increase the productivity of the facility staff, improve building operations, support sustainability efforts and enhance decision-making across the organization.  Building managers also benefit from all of the data they receive as well as control capability so they can fine-tune processes to lower energy and maintenance costs.

Can Old be Smart?

Buildings that aren’t “connected” are the same buildings they were decades ago. They provide the basics: shelter, temperature control and safety at the same efficiency level for years. But newer buildings, or older structures that have been converted to smart buildings, can evolve to meet the economic challenges of rising energy costs and GHG emissions. They can be living organisms connected to a network with intelligent and adaptable solutions and technologies.

The Kontrol Smart Advantage

Kontrol can help you design your own version of Smart and integrate various buildings systems to help you achieve your specific goals. There is no single set of standards that makes up what a Smart Building is, but what they all have in common is intelligence and integration. 




The Internet Of Things (IoT) represents a new opportunity for buildings owners, asset managers, mission critical buildings and the industrial sector.  Connected devices can be used to enhance productivity, improve real-time decision making, and help reduce overall operating costs.



Insights derived from the collection of data are hugely powerful, if they are intelligent and actionable. Organizations and companies that are able to develop smart actionable insights, from data will be benefit from operating efficiencies and develop a competitive advantage. 



Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.  Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.