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REsustain

This company uses a calibrated Digital Twin, combining building physics and automation technology, to optimize real estate energy performance. They automate sustainable energy flow to materially reduce energy consumption and carbon emissions across building portfolios. This process increases portfolio value while cutting utility costs without requiring CAPEX investment.

Victoria, Hong KongFounded 2021121K+ followers
Updated 4 months ago

Funding

$3.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Real estate energy management often lacks real-time data and predictive modeling, leading to inefficient energy consumption, increased carbon emissions, and missed opportunities for cost savings. Traditional methods struggle to adapt to dynamic building conditions and fail to provide transparent, actionable insights for optimizing energy performance.

Solution

REsustain offers a Digital Twin platform that leverages building physics and automation technology to optimize energy management in real estate portfolios. The platform creates a calibrated virtual representation of buildings, enabling real-time monitoring, scenario modeling, and remote control of building performance. By analyzing energy flows and predicting future consumption, REsustain identifies opportunities to reduce energy waste, lower carbon emissions, and improve tenant comfort. The solution provides a transparent view of building energy performance, empowering owners and operators to make data-driven decisions and accelerate their path to carbon neutrality.

Target Audience

The primary target audience includes real estate owners, property managers, and sustainability professionals seeking to reduce energy consumption, lower carbon emissions, and improve building performance across their portfolios.

Features

  • Calibrated Digital Twin technology for accurate building simulation and energy forecasting
  • Real-time data monitoring and analysis of energy consumption patterns
  • Scenario modeling to evaluate the impact of different energy-saving strategies
  • Remote control and automation of building systems for optimized performance
  • Transparent data visualization and reporting for clear insights into energy usage
  • Integration with existing building management systems (BMS) and IoT devices
This profile is AI-generated and may contain inaccuracies.