Prescriptive Data has unveiled Nantum, a cloud-based smart building platform and control panel built on MongoDB, the database for ideas, the company said.
Designed to function as the “brain” of a building, Nantum integrates existing sensor data from disparate building systems to provide a holistic view of how a building is operating. It can then prescriptively recommend real-time system adjustments, identify operational inefficiencies, target preventative maintenance and provide 24/7, 365 building re-commissioning in real time. As a result, buildings with Nantum realize advanced sustainability performance, improved operational efficiencies, reduced expenses and an enhanced tenant experience.
An early version of the product was designed using a combination of Oracle database and Microsoft SQL Server by a team of 55 developers over 18 months. The version took 15 minutes to run a process that required expensive on-premise servers, which was not useful for building engineers. Using MongoDB 3.2 enterprise advanced and Amazon web services, as well as MongoDB´s consulting services, Prescriptive Data and its team of 16 developers were able to recreate a new platform, and begin adding buildings into Nantum in less than four months. Today, the system operates in real time with new features being added onto the platform, like automation services.
Nantum learns from past data from various sources to predict daily energy usage and generates recommendations to optimize the way a building runs. Utilizing a patented machine learning engine, the system manages energy demand by analyzing building occupancy, electric demand, outside weather and other factors to automatically adjust indoor temperatures to optimal levels, saving millions of dollars in energy cost, reducing load on the energy grid and improving tenant comfort.
Prescriptive Data is a technology company founded by the Rudin Family. Building energy analytics and automation services are the first applications come out the Nantum platform.