Prescriptive Data
Prescriptive Data is a technology company that specializes in AI-powered building management solutions, focusing on energy efficiency and carbon emissions management through its Nantum OS platform.
Services
Prescriptive Data offers a range of services centered around building optimization and management. Key among these is their Nantum OS, a building operating system that integrates and analyzes real-time and historical data for better operational efficiency. Their AI-powered solutions manage real-time energy and carbon emissions, and they use machine learning to predict and detect anomalies in building management systems. This helps optimize large building systems, ensuring they run more efficiently and sustainably.
Products
A cornerstone product of Prescriptive Data is their Nantum OS. This advanced building operating system integrates various operational technologies to create a comprehensive data lake, enabling real-time visualization, analysis, prediction, and automation of building operations. The platform leverages AI to automate systems based on real-time occupancy data, optimizing energy usage and indoor comfort for occupants.
Partnerships
Prescriptive Data engages in strategic partnerships to enhance the capabilities of their solutions. They collaborate with major technology and energy organizations such as Intel, AWS, and KPMG. Additionally, they are part of the Microsoft for Startups program, allowing them to broaden their reach and capabilities through the Azure Marketplace. Their work in developing Grid-Interactive Efficient Buildings (GEBs) is done in collaboration with the U.S. Department of Energy, U.S. General Services Administration, and Salt River Project.
Headquarters
Prescriptive Data is headquartered at 845 Third Avenue, 14th Floor, New York, NY 10022. This location serves as the central hub for their operations, development, and strategic planning.
Smart Building Solutions
Prescriptive Data offers comprehensive solutions aimed at transforming buildings into smart, efficient entities. Their technologies enhance building intelligence by focusing on energy efficiency and demand flexibility, which are crucial components of smart city development. By employing AI and machine learning, they enable buildings to react dynamically to real-time data, optimizing energy consumption and improving occupant comfort.