Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Azure Data Manager for Energy empowers energy firms to derive actionable insights, enhance operational efficiency, and speed up market readiness through the robust, cloud-based OSDU® Data Platform service. By offering a versatile and open energy platform, it enables developers to create and tailor solutions that drive innovation. This open platform not only fosters decision-making but also facilitates the rapid development of cutting-edge digital solutions. Organizations can effortlessly implement strategies that boost agility while optimizing workflows related to seismic activities, wellbores, and reservoirs. Transitioning to a high-grade cloud environment allows companies to maintain their competitive edge in a global market. Furthermore, the integration process is streamlined, reducing implementation costs and expediting time to market with the help of built-in tools that ensure compliance and simplify development within the OSDU data platform. This approach not only supports operational growth but also encourages continuous innovation within the energy sector.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
Microsoft Azure
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$16 per hour per instance
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
Microsoft
Founded
1974
Country
United States
Website
azure.microsoft.com/en-us/products/data-manager-for-energy
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