Sold by: Quorum Software
Deployed on AWS
Energy Components (EC) SaaS is the worlds leading system for production data management, trusted by over 100 energy companies to manage a significant portion of global hydrocarbon production. Optimized for AWS, it provides an end-to-end platform for tracking energy from reservoir to customer, unifying production data, complex allocations, logistics, and commercial contracts into a single, auditable system of record.
Overview
The energy value chain is often fragmented by disparate systems managing field operations, transport logistics, and financial reporting. This fragmentation leads to data silos, reconciliation errors, and delayed revenue recognition. Energy Components SaaS addresses these challenges by providing a unified data model that spans the entire lifecycle of the molecule whether oil, gas, LNG, or emerging energy carriers like Hydrogen and Carbon (CCUS). As a fully managed SaaS solution on AWS, EC SaaS eliminates the technical debt associated with self-hosted software. It replaces capital-intensive infrastructure refreshes with a continuous delivery model, ensuring your organization is always "Evergreen" running on the latest version with immediate access to security patches, regulatory updates, and new functional enhancements.
Highlights
- Cloud-Native Resilience: Architected on AWS with Multi-AZ redundancy, SOC 2 Type 2 compliance, and automated disaster recovery, ensuring business continuity for mission-critical data
- End-to-End Value Chain: A single data model covering Upstream production, Midstream transportation, LNG liquefaction/regasification, and Energy Transition workflows (H2, CCUS).
- Evergreen Delivery: Continuous upgrades remove the cost and risk of major version migration projects, delivering new features and security patches automatically.
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
EC | All orders are custom. Please contact us for more details. The reflected price in this listing is just a placeholder and is NOT the cost to buy. All orders are custom offers | $0.01 |
Vendor refund policy
No Refunds
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Contact Quorum Software for technical support and services at
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Gain advanced insights through the use of stored OPCUA data to improve operational efficiency, use predictive maintenance and anomaly detection.
Phantom is a non-intrusive, AI @ Edge, AIoT based Real time Asset and Energy monitoring solution.
Propensity model that determines the probability that a consumer Drinks Energy Drinks.
In today’s dynamic energy market, swift, informed decisions are crucial. Don’t let fragmented data hinder your progress. OpsGuru Energy Insights, a unified Data Lakehouse built on AWS and powered by Databricks, provides a single source of truth, delivering consistent, high-quality information to your engineers, analysts, and data scientists. This empowers you to streamline operations, reduce IT costs, and enhance both physical safety and digital security, transforming your data into a powerful asset for innovation and informed decision-making.
Optimizing production and finding efficient ways of reducing production costs have become a must for modern industries. By managing expenses and enhancing production processes, businesses can offer their consumers attractive prices without sacrificing quality, resulting in an competitive advantage.
Our goal is to help our clients optimize their existing production machinery, and reduce their operating costs without pausing the production or compromising their product quality. This is done thanks to an automated solution that uses IoT data to provide suggestions on how to iteratively change the machine settings to lower the energy consumption. The application, based on AI models and robust statistical methods, is highly parametrized allowing for easy scaling on different types of machines and processes.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.