Our Solutions for
ESG Compliance

Our Solutions for ESG Compliance

We are ESG Enabler in automated data generation for sustainability reporting companies and organisations on Sustainable Buildings and Environmental Impact Assessment

Promoting Measured Accountability, Sustainability, Safety, Health and Environment with IoT

Why Visualisations of AI & IoT Matters?

Visualisations play a pivotal role in making AI and IoT data accessible, understandable, and actionable. They enhance decision-making, support communication, and contribute to the effective implementation and management of these advanced technologies.

Complex Data Representation

AI and IoT systems generate vast amounts of complex data. Visualisations provide a clear and comprehensible representation of this data, making it easier for users to understand patterns, trends, and insights that might be hidden in raw data.

Real-Time Monitoring

For IoT applications, real-time monitoring is essential. Visualisations allow users to monitor the status of connected devices, systems, and processes in real time. This capability is crucial for ensuring the efficiency and reliability of IoT deployments.

Decision-Making Support

Visual representations facilitate decision-making processes by presenting information in a visually intuitive manner. Decision-makers can quickly grasp key insights and make informed choices based on visualised data.

Visualisations simplify complex structures, aiding stakeholder understanding by presenting architecture and functionality to non-technical audiences more effectively.

It simplifies complex data, enhances understanding, and facilitates informed decision-making, promoting effective utilisation of technologies.

Implementing automated systems saves time, increases efficiency, lowers maintenance costs, and eliminates human error, fostering a streamlined and reliable operation.

Our Solutions for Your Whole Company

Constant analysis, real-time reports, instant Discord alerts—accessible anytime, anywhere for seamless monitoring and response.

Meanwhile read the case studies below to learn how other corporations have capitalised on technology to derive financial ROI while complying with ESG.

Energy Efficiency with AI and IoT for Cooling Systems

ROI by using Energy Efficiency to achieve Net Zero

Cooling systems are one of the biggest electricity consumers in the world. Large buildings and facilities spend hundreds of thousands if not millions of dollars a month on electricity usage because of its cooling systems.

AI and IoT can be used to make cooling systems use less electricity by enabling the system to react better by leveraging on real time data.

Lower electricity consumption leads to lower spending on electricity bills (ROI) and contributes towards Net Zero (ESG)
1
Enable real time monitoring for electricity consumption
2
Use real time data to make electricity consumption more efficient
3
Reduce emissions and comply with ESG
4
Save money from saved electricity

Cooling systems are one of the biggest electricity consumers in the world. Large buildings and facilities spend hundreds of thousands if not millions of dollars a month on electricity usage because of its cooling systems.

AI and IoT can be used to make cooling systems use less electricity by enabling the system to react better by leveraging on real time data.

01
Enable real time monitoring for electricity consumption
02
Use real time data to make electricity consumption more efficient
03
Reduce emissions and comply with ESG
04
Save money from saved electricity

Environmental Impact Assessment Automation

ROI by complying with Environmental Impact Assessments

Environmental Impact Assessments (EIA) are compulsory for any companies to comply with whenever they want to build structure(s). Unfortunately, it is extremely costly and tedious to monitor environmental requirements in construction sites manually. Therefore, these Environmental Impact Assessments (EIA) are done sporadically. 

Fortunately, this cost can be drastically reduced with technology. We enable construction sites to monitor environmental requirements stipulated by EIA in real time at a very small fraction of a cost. The savings can be in tens of millions!

With access to real time EIA data, companies using this solution have reduced fines, avoided disputes & litigations, and made construction sites more efficient, all the while mitigating millions of dollars in losses.
1
Enable real time monitoring for Environmental Impact Assessments
2
Reduce environmental fines, undesired incidents and EIA breaches
3
Comply with Environmental Impact Assessments and ESG
4
Save money from reduced fines, stop work order prevention and other site incidents

Environmental Impact Assessments (EIA) are compulsory for any companies to comply with whenever they want to build structure(s). Unfortunately, it is extremely costly and tedious to monitor environmental requirements in construction sites manually. Therefore, these Environmental Impact Assessments (EIA) are done sporadically. 

Fortunately, this cost can be drastically reduced with technology. We enable construction sites to monitor environmental requirements stipulated by EIA in real time at a very small fraction of a cost. The savings can be in tens of millions!

01
Enable real time monitoring for Environmental Impact Assessments
02
Reduce environmental fines, undesired incidents and EIA breaches
03
Comply with Environmental Impact Assessments and ESG
04
Save money from reduced fines, stop work order prevention and other site incidents

How IoT Provides Support for ESG Compliance

IoT devices can monitor and optimise energy usage in buildings, factories, and transportation systems. Smart sensors and actuators enable real-time adjustments to lighting, heating, ventilation, and air conditioning (HVAC) systems, contributing to energy efficiency and reducing environmental impact.

It has the capability to detect and capture precise data, seamlessly integrating it into the report, thereby ensuring accuracy in generating ESG compliance reports.

Sensor is detecting the factor such as energy, temperature, carbon dioxide emmision, humidity and more. Factor is measured and collected, which will transmitted to our Cloud server.

With the raw data received, our Cloud server is able to process by filtering, aggregation, and transformation to extract meaningful information. Advanced analytics, machine learning algorithms, or artificial intelligence may be applied to derive insights from the data.

Cloud services provide a centralised location for managing and analysing data from a large number of distributed IoT devices. Cloud storage is used to store historical data, configuration settings, and other relevant information.

IoT devices need to communicate with each other or with a cloud server to share data and receive instructions.Encryption, authentication, and authorisation protocols are implemented to secure communication between devices and the backend systems.

The insights and information derived from IoT data are often presented to end-users through applications or user interfaces, providing users with real-time information, alerts, and control over connected devices.

Automated systems can detect events or anomalies in the data. Alerts and notifications are generated to inform users or trigger predefined actions in response to specific conditions.
 
 

Sensor is detecting the factor such as energy, temperature, carbon dioxide emmision, humidity and more. Factor is measured and collected, which will transmitted to our Cloud server.

With the raw data received, our Cloud server is able to process by filtering, aggregation, and transformation to extract meaningful information. Advanced analytics, machine learning algorithms, or artificial intelligence may be applied to derive insights from the data.
Cloud services provide a centralised location for managing and analysing data from a large number of distributed IoT devices. Cloud storage is used to store historical data, configuration settings, and other relevant information.
Automated systems can detect events or anomalies in the data. Alerts and notifications are generated to inform users or trigger predefined actions in response to specific conditions.
The insights and information derived from IoT data are often presented to end-users through applications or user interfaces, providing users with real-time information, alerts, and control over connected devices.
IoT devices need to communicate with each other or with a cloud server to share data and receive instructions.Encryption, authentication, and authorisation protocols are implemented to secure communication between devices and the backend systems.

Reach out to understand how data driven technologies can help optimise your sustainability goals.