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Description
AmpoCloud is a versatile, AI-driven Internet of Things platform designed for scalable device and data management, facilitating applications focused on energy oversight, asset tracking, and sustainability metrics. This platform seamlessly merges data from both new and pre-existing meters, sensors, and systems, thereby enabling robust AI applications that enhance energy efficiency, identify wasteful practices, and pinpoint equipment malfunctions. Additionally, it supports functionalities such as utility billing and sustainability assessments, all while maintaining high standards of flexibility, interoperability, and cybersecurity. By providing utilities-management capabilities like energy insights and billing functionalities, alongside energy-efficiency features such as HVAC optimization and peak-demand management, AmpoCloud promotes operational efficiency. Moreover, it aids in distributed-energy management with tools for solar asset oversight and energy storage, as well as sustainability-reporting instruments that track carbon emissions and integrate operational data, ultimately fostering a more sustainable future for energy consumption. This comprehensive approach not only bridges data silos but also empowers organizations to make informed decisions that positively impact both their operations and the environment.
Description
Our analytics solutions can help you reduce your company's carbon footprint and save money and energy, while maintaining a comfortable and safe environment. CopperTree offers more than just data. We offer an independent layer of data, automated system optimization and automated commissioning. Our AI building analytics solution includes a Fault Detection and Diagnostics platform (FDD), an Energy Information System, and a Fault Detection and Diagnostics Platform (EIS). It also integrates system performance auditing. We ensure that smart buildings achieve their full potential by converting your building's data to actionable information. CopperTree Analytics can help you collect and store data, achieve maintenance targets, reduce energy consumption and make better operational decision. Our software, Kaizen is inspired by the Japanese philosophy of continuous improvement. It helps you identify the changes that your buildings and portfolio require.
API Access
Has API
API Access
Has API
Integrations
EcoStruxure
IBM Maximo Application Suite
KMC Commander
Metasys
PowerLogic ION EEM
Siemens Insights Hub
Integrations
EcoStruxure
IBM Maximo Application Suite
KMC Commander
Metasys
PowerLogic ION EEM
Siemens Insights Hub
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Ampotech
Founded
2014
Country
Singapore
Website
www.ampotech.com/product/platform/
Vendor Details
Company Name
CopperTree Analytics
Founded
2012
Country
Canada, USA
Website
www.coppertreeanalytics.com
Product Features
Energy Management
Benchmarking
Bill Audit
Bill Database
Bill Importing
Budgeting & Forecasting
Compliance Management
Contract Management
Cost / Use Reporting
Emissions Monitoring
Energy Price Analysis
Facility Scheduling
Greenhouse Gas Tracking
Load Control
Load Forecasting
Meter Tracking
Risk Management
Weather Normalization
Product Features
Energy Management
Benchmarking
Bill Audit
Bill Database
Bill Importing
Budgeting & Forecasting
Compliance Management
Contract Management
Cost / Use Reporting
Emissions Monitoring
Energy Price Analysis
Facility Scheduling
Greenhouse Gas Tracking
Load Control
Load Forecasting
Meter Tracking
Risk Management
Weather Normalization
