Property technology (proptech) Internet of Things (IoT) solutions provider Enlighted recently announced that artificial intelligence (AI) use in its Location Intelligence solution has been expanded, as well as new additions to the Enlighted partner ecosystem.
Introducing AI models to Enlighted’s Real Time Location Services (RTLS) system improved the accuracy of finding assets and personnel more than 98 percent, an improvement over prior triangulation methods that offered 80 percent accuracy, according to the company. These AI capabilities build on Enlighted’s Temperature Control solution, a mobile app that allows tenants to control workplace comfort.
The company’s AI solutions are part of the Siemens Xcelerator Marketplace, an open digital business platform to accelerate digital transformation.
Enlighted has expanded its partner ecosystem with participants who offer AI applications, machine-learning (ML) tools and platforms that extend the value from by using Enlighted time-series IoT building data. The company’s new partners — including Tagnos, a healthcare solution provider, and Zan Compute, a smart building systems provider — fuel their applications from Enlighted’s data.
“Sensors in smart buildings collect an enormous amount of data. AI-based applications are a transformative way for commercial buildings to maximize and use this data, optimizing efficiency while improving the occupant experience,” said Stefan Schwab, CEO of Enlighted. “The capabilities and partnerships we unveiled today demonstrate that Enlighted is continuously innovating and expanding its offerings with the most advanced technology.”
AI boosts Enlighted’s RTLS accuracy
Enlighted’s Location Intelligence tool is a machine-learning solution that tracks asset and badge location and movements with existing smart lighting infrastructures. The solution empowers business throughout various industries, including healthcare, manufacturing and industrial, to optimize their operations, improve inventory control and enhance occupant safety.
“IoT based asset tracking and process flow improvements will make our headquarters truly a smart building,” said Rajan Mehta, chief technology officer, World Wrestling Entertainment (WWE). “The Enlighted RTLS solution is an important aspect for WWE. One of the key things for production and content creation is our memorabilia. We have a significant amount of inventory, and having this inventory management system is key for us.”
AI, tenant input help Enlighted make buildings more eco-friendly
Meanwhile, the Enlighted Environmental Control solution allows users to increase heat or air conditioning in their zoned area with a mobile app. Having that control helps reduce facilities calls and energy costs while contributing to sustainability objectives.
When an employee makes a request, it acts as a “vote” and machine learning identifies preference patterns. The solution can then adjust the building’s temperature setpoints and “teach” the HVAC system to automatically adjust temperatures. The Environmental Control solution comes at an ideal time, as a 2021 Memoori report noted that approximately 50 percent of employees want to be able to set the temperature in their workspace. This is the type of privilege that could entice current remote workers to come back to the office, which a number of employers are encouraging them to do.
Companies Tagnos and Zan Compute have both put Enlighted’s AI and machine-learning solutions to work. Tagnos leveraged the RTLS location data as part of its Healthcare Orchestration Platform to drive patient care and asset-tracking workflows in hospitals. Meanwhile, Zan Compute has used Enlighted occupancy data to guide necessary cleaning activity, reducing building cleaning costs, and improving occupant experience. The solution also uses AI analytics to predict and optimize cleaning workloads and resource requirements.
“Enlighted and Zan Compute’s partnership is transforming the cleaning industry to be data driven, ushering in a new era of AI driven custodial process,” said Junaith Ahemed Shahabdeen, CEO of Zan Compute.
“Tagnos and Enlighted have formed an exciting new partnership to improve healthcare operational workflows and to empower staff to focus their time on delivering high-quality patient care,” said Sheila Minton, CEO of Tagnos. “Enlighted’s AI solutions, location data, and tags provide critical enabling data to the Tagnos software suite of dynamic solutions for asset management, patient throughput optimization, and operational situational awareness.”
