Prescriptive Data is focused on providing cost savings and enhanced thermal comfort in built spaces through the intersection of Operational Technology (OT) with Information Technology (IT). With its flagship product Nantum OS, Prescriptive Data has responded to market demand for a next-generation building management platform that cultivates the full potential of the building operator by combining institutional knowledge with data-driven insights from IoT, big data, and the latest advances in machine learning and artificial intelligence. Prescriptive Data designs its solutions by collaborating with building operators and engineers, and maintains a living lab of over 10 million square feet of New York real estate in which it vets new concepts, technologies, sensors and applications.
Learn more and schedule a demo: https://www.prescriptivedata.io/demo/schedule
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11-50 employees
View all Prescriptive Data employees
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Software Development
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$1M–$5M
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+1 (212) 555-0199
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845 3rd Ave, 14th Floor, New York, NY 10022, US
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2015
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Saas, Smart Buildings, Energy Management, Internet Of Things, Energy Efficiency, Data Science, Building Automation, Building Performance, Artificial Intelligence, Esg, Machine Learning, Building Operations, Proptech, Energy Management, Energy Efficiency, Building Performance, Decarbonization, Cretech, Smart Buildings, Climate Tech, Building Operations, Climate Tech, Cretech, Building Automation, Machine Learning, Esg, Saas, Data Science, Proptech, İnternet Of Things, Artificial Intelligence, Decarbonization
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Gary Chance is the CEO of Prescriptive Data. To contact Gary Chance email at [email protected] or [email protected].
The decision makers in Prescriptive Data are Amit Paul, Bryce Nielsen, Christopher Demoll, etc. Click to Find Prescriptive Data decision makers emails.
Prescriptive Data headquarters is located at 845 3rd Ave, 14th Floor, New York, NY 10022, US.
Prescriptive Data generates an estimated $1M–$5M annually, based on industry analysis and publicly available market data.
You can contact Prescriptive Data by calling +1 (212) 555-0199.
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