Billed as the world’s first fully integrated cloud-based operating system for the built environment, Prescriptive Data’s Nantum platform uses machine learning to optimize operational efficiency and enhance tenant comfort. New York City-based Rudin Management, which founded Prescriptive Data, uses Nantum in 17 of its buildings, including 15 commercial buildings and two residential towers, totaling about 10 million square feet overall. According to John J. Gilbert III, Executive Chairman of Prescriptive Data and COO of Rudin Management Company, the system has reduced energy consumption by 13%, resulting in annual savings of 50 cents per square foot.
To help accelerate Prescriptive Data’s growth, the company has hired Sonu Panda as its new CEO. Panda will work alongside Gilbert to develop and execute the startup’s business and technology strategy, and will oversee all company functions.
Prior to Prescriptive Data, Panda most recently served as the co-founder and COO of H.Bloom, a B2B marketplace company. Prior to H.Bloom, Panda was VP of On-Demand Sales at CallidusCloud, a leading cloud provider of sales management solutions.
Panda says of his new position: “At Prescriptive Data, we’re building ground-breaking technology for the real estate industry. Our analytical software and sensor technologies give any type of building a brain, a memory, the ability to learn from past operational experiences, and the necessary intelligence to drive the right operational actions, in the right building systems, at the right time. By helping real estate operators measure building performance, we’re helping them manage towards sustainability and are making smart buildings smarter, and more responsible as well.”
A major player in the New York City real estate market for over 100 years, the Rudin’s have long been real estate technology leaders. They developed 55 Broad Street, the first totally wired office building in the city and in early 2016, WeWork launched its “WeLive” residential co-living concept at Rudin’s 110 Wall Street building.