About Prescriptive Data

Prescriptive Data utilizes machine learning and AI to optimize building operations, enabling real-time energy management and reducing carbon emissions. Their platform transforms raw building data into actionable insights, enhancing thermal comfort while delivering measurable cost savings for real estate owners.

```xml <problem> Real estate owners often struggle to effectively utilize the vast amounts of data generated by building systems, leading to inefficient operations, increased energy consumption, and difficulty in meeting sustainability goals. Traditional building management systems lack the advanced analytics and automation capabilities needed to translate raw data into actionable insights for optimizing building performance. </problem> <solution> Prescriptive Data's Nantum OS is an AI-powered platform that transforms raw building data into actionable insights, enabling real-time energy management and carbon emission reduction. The platform leverages machine learning algorithms to analyze data from various building systems, such as HVAC, lighting, and occupancy sensors, to identify opportunities for optimization. Nantum OS provides AI-driven recommendations and automation capabilities that empower building operators to minimize energy consumption while maximizing occupant comfort. By providing real-time visibility into building performance and automating operational adjustments, Nantum OS helps real estate owners achieve significant cost savings, improve sustainability, and enhance the overall building environment. </solution> <features> - AI-powered analytics that identify energy waste and optimization opportunities - Real-time monitoring and control of HVAC, lighting, and other building systems - Automated adjustments to building operations based on occupancy, weather, and other factors - Integration with existing building management systems and data sources - Customizable dashboards and reports that provide insights into building performance - Fault detection and diagnostics to identify and resolve equipment issues - Climate risk mitigation by preparing buildings for the impact of global climate changes - Carbon emission tracking and reporting to meet sustainability goals </features> <target_audience> The primary target audience includes real estate owners, property managers, and building operators seeking to optimize building performance, reduce energy consumption, and meet sustainability goals. </target_audience> ```

What does Prescriptive Data do?

Where is Prescriptive Data located?

Prescriptive Data is based in East New York, United States.

When was Prescriptive Data founded?

Prescriptive Data was founded in 2016.

Location

East New York, United States

Founded

2016

Employees

33 employees

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Prescriptive Data

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Executive Summary

prescriptivedata.io 3K+

Founded 2016 – East New York, United States

Funding

No funding information available.

Team (30+)

No team information available.

Company Description

Problem

Real estate owners often struggle to effectively utilize the vast amounts of data generated by building systems, leading to inefficient operations, increased energy consumption, and difficulty in meeting sustainability goals. Traditional building management systems lack the advanced analytics and automation capabilities needed to translate raw data into actionable insights for optimizing building performance.

Solution

Prescriptive Data's Nantum OS is an AI-powered platform that transforms raw building data into actionable insights, enabling real-time energy management and carbon emission reduction. The platform leverages machine learning algorithms to analyze data from various building systems, such as HVAC, lighting, and occupancy sensors, to identify opportunities for optimization. Nantum OS provides AI-driven recommendations and automation capabilities that empower building operators to minimize energy consumption while maximizing occupant comfort. By providing real-time visibility into building performance and automating operational adjustments, Nantum OS helps real estate owners achieve significant cost savings, improve sustainability, and enhance the overall building environment.

Features

AI-powered analytics that identify energy waste and optimization opportunities

Real-time monitoring and control of HVAC, lighting, and other building systems

Automated adjustments to building operations based on occupancy, weather, and other factors

Integration with existing building management systems and data sources

Customizable dashboards and reports that provide insights into building performance

Fault detection and diagnostics to identify and resolve equipment issues

Climate risk mitigation by preparing buildings for the impact of global climate changes

Carbon emission tracking and reporting to meet sustainability goals

Target Audience

The primary target audience includes real estate owners, property managers, and building operators seeking to optimize building performance, reduce energy consumption, and meet sustainability goals.