About Us

About Us

 

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 15 million square feet of New York real estate in which it vets new concepts, technologies, sensors and applications.


Nantum OS is a cloud-based, secure building operating system that integrates into any built space, including BMS and non-BMS facilities, to optimize energy consumption and increase tenant comfort, while providing cost savings.

Nantum OS learns the rhythm of existing building systems, memorizing today’s operations so that it can positively influence, predict, and prescribe tomorrow’s performance. And Nantum’s algorithms continuously improve building efficiency over time.

 
 

Our History


1995

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NYC’s First Smart Building

In 1995, Rudin Management’s 55 Broad Street became the first fully wired office building in New York City, offering tenants satellite accessibility, single and multi-mode fiber optics, high speed category 5 copper wire, as well as a wide range of video conferencing, and internet access options and capabilities and a complete state-of-the-art work environment.

2003

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Northeast Blackout

The Northeast Blackout leaves 55 million without power and occupants trapped in elevators and vestibules for hours. Power providers needed to develop a new system to alert real estate owners of potential power outages.

2009

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ConEdison Warning Program

Under President Obama’s stimulus package focusing on smart grid demonstration, ConEdison developed a 45-second demand response warning system. ConEd then approached Rudin Management to develop a 30-second warning system. John Gilbert (COO) and Gene Boniberger (Dir. Ops) of Rudin now needed a platform that could act on this 30-second potential outage warning.

 

2013

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Rudin Launches Di-Boss

After an exhaustive multi-year search for a platform that could accept a ConEd demand response warning and shutdown non-critical building features, Rudin Management decided to build its own platform, Di-Boss (Digital Building Operating System).

2015

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Prescriptive Data is Born

After two years of actively developing and testing Di-Boss the product was ready for prime time. Founded by John and Gene, with Rudin Management as the principal investor, Prescriptive Data was born and Di-Boss was renamed to Nantum. “Nantum” is derived from the ancient Algonquin word that means, “prayer or blessing,” answering the prayers of property owners.

2016

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Nantum Wins First Client

A few months after first showcasing Nantum at Realcomm 2016, Prescriptive Data won its first client outside of the Rudin portfolio. Blackstone’s EQ Office integrated Nantum OS in one of its office buildings in downtown Boston, helping EQ reduce their energy usage and utility bills.

 

2019

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Nantum Tenant App Launches

Three years later, Nantum launched its Tenant Engagement app at Dock 72, one of the largest development projects in the Brooklyn Navy Yard, with partners Rudin Management, Boston Properties, and WeWork,.

2020

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The Digital Twin

With 7 years of building data and over 50 machine learning algorithms Nantum launches the Digital Twin, a real-time view of building exterior and interior building data. Now building managers can identify building anomalies and see real-time space utilization.

The Future

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A.I. and Machine Learning

Our team is dedicated to the use of machine learning to find new revenue driven insights for the built environment. From correlating real-time occupancy tracking with BMS performance, to wifi-occupancy based space utilization, our team is focused on making buildings smart.