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What is Energy Domain?

Energy Domain is an energy software and data company focused on helping the upstream oil and gas sector operate more efficiently and make better-informed decisions. The platform combines advanced technology, industry expertise, and market intelligence to support asset evaluation, data analysis, transaction workflows, and operational planning. It serves a wide range of energy professionals, including operators, non-op buyers, mineral aggregators, A&D advisors, land teams, mineral owners, private equity firms, and midstream companies. Energy Domain offers access to important oil and gas datasets such as well header data, production data, allocated production, directional surveys, confirmed interval data, FracFocus completions, appraisal data, rig activity, pre-permits, spacing, EUR forecasts, and water production. The platform also supports operator and reservoir aliasing, data coverage insights, methodology resources, and integrations that help teams connect Energy Domain data with their existing workflows. Users can take advantage of features such as AOI alerts, shapefile uploads, well list matching, filters, table configurations, web feature services, and BI tool integrations. Energy Domain is designed to help teams monitor basins and plays such as the Permian Basin, Eagle Ford Shale, Haynesville Shale, Williston Basin, Delaware Basin, Midland Basin, and other major energy regions. The company also supports oil and gas transaction activity through tools that help users list, evaluate, and analyze deals. Its acquisition of Energent and continued platform development reflect its focus on improving decision-making through stronger data and AI-driven insights. Energy Domain helps energy companies reduce inefficiencies, identify opportunities, improve asset intelligence, and manage oil and gas information with greater clarity.

What is Datapred?

A REVOLUTIONARY APPROACH TO PURCHASING ENERGY AND RAW MATERIALS Datapred offers an advanced online platform designed for those engaged in the procurement of energy and raw materials. This software enhances market insight and reporting capabilities while delivering robust support for making informed decisions. By integrating with various internal and external data sources and employing sophisticated analysis, forecasting, and optimization techniques, Datapred ensures that purchasing choices align effectively with both current market dynamics and organizational needs. The energy sector, including energy consultants and industrial firms, actively utilizes Datapred to streamline their purchasing processes and enhance operational efficiency. Its innovative features empower users to navigate the complexities of the market with greater ease and confidence.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€30/month/user
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Energy Domain

Date Founded

2019

Company Location

United States

Company Website

www.energydomain.com

Company Facts

Organization Name

Datapred

Date Founded

2015

Company Location

Switzerland

Company Website

www.datapred.com

Categories and Features

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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