
Prescriptivedata
AI-powered building operations automation for commercial real estate.
Date | Investors | Amount | Round |
---|---|---|---|
* | $5.0m | Early VC | |
Total Funding | 000k |
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Prescriptive Data is a technology company spun out of Rudin Management in 2015 to commercialize its in-house building operating system, Nantum. The company, founded by John Gilbert, develops software for the commercial real estate sector, focusing on energy efficiency, cost reduction, and tenant comfort. Gilbert, who served as COO and CTO at Rudin for nearly three decades, transitioned to Executive Chair of Prescriptive Data to focus on its growth. The current CEO is Sonu Panda.
The company's core product is Nantum AI, also known as Nantum OS, a platform that uses artificial intelligence and machine learning to optimize building operations. It integrates data from various building systems, including HVAC, lighting, elevators, and occupancy sensors, into a single platform. By analyzing real-time and historical data, Nantum predicts energy consumption, detects system anomalies, and provides prescriptive recommendations to building operators to reduce energy use and carbon emissions. The system can automate adjustments to maintain optimal indoor environments while minimizing energy consumption.
Prescriptive Data operates on a software-as-a-service (SaaS) business model, providing its platform to commercial office buildings, residential properties, and other real estate verticals. Its clients include large real estate firms like Jamestown and KPMG. The platform helps building owners and operators achieve sustainability goals, lower operational costs, and enhance the tenant experience. A case study by the New York State Energy Research & Development Authority (NYSERDA) on Rudin's portfolio highlighted significant savings, including a $5 million reduction in costs and notable decreases in energy consumption after implementing Nantum.
Keywords: building automation, smart building, proptech, energy management, real estate technology, carbon reduction, artificial intelligence, machine learning, facility management, SaaS, building operating system, predictive maintenance, energy optimization, tenant experience, HVAC optimization, real-time data analytics, sustainability reporting, CRE technology, carbon emissions