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Welcome to Prescriptive Data
How much energy does a typical office generate? How about carbon emissions? Such measurements are baked into Nantum OS, Prescriptive Data’s smart building operating system designed for real estate. Because “the sky’s the limit” when it comes to building artificial intelligence, product professionals at the NYC climate tech company are encouraged to focus on emerging IoT technologies and ML algorithms. Most recently, these have included ease of use and utility cost reduction.



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Cheng’s day-to-day work evolves as new information surrounding climate change comes to light. With that in mind, he has to be ready to tackle a variety of pain points, like the cost associated with reducing carbon emissions based on current legislation into the product. With a personal goal as tangible as preserving national parks for his grandchildren and their children, it’s easy to find motivation.
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Using artificial intelligence, the core research team at Prescriptive Data is able to strategically break down energy-efficiency issues like tenant comfort verses energy reduction. Novel architecture allows Mehmani and his team to train and refine machine learning models to ensure across-the-board accuracy and energy reduction within buildings.

When narrowing down a project, Zhu considers how Nantum OS will integrate with HVAC systems, utility meters and occupancy. She conducts walkthroughs and gathers data about the buildings’ mechanical systems to estimate a budget for software implementation. Part of ensuring the success of new projects involves educating customers on both the financial and environmental benefits of Prescriptive Data's automation systems.
At a glance
friendly competition
PD engineers compete in (and win!) hackathons across the state
gather ‘round
During product and engineering huddles, team members use collaborative document-editing tools
re-envisioning building management
Nantum OS is built on open-communication protocols for easy integration
the sky’s the limit
There are 63 buildings on the PD platform









