List of ComboCurve ComboCore Customers
Houston, 77042, TX,
United States
Since 2010, our global team of researchers has been studying ComboCurve ComboCore customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased ComboCurve ComboCore for Predictive Analytics from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using ComboCurve ComboCore for Predictive Analytics include: Eqt, a United States based Oil, Gas and Chemicals organisation with 1461 employees and revenues of $5.27 billion, Wikimedia Foundation, a United States based Non Profit organisation with 647 employees and revenues of $185.0 million, Double Eagle Energy, a United States based Oil, Gas and Chemicals organisation with 90 employees and revenues of $18.0 million and many others.
Contact us if you need a completed and verified list of companies using ComboCurve ComboCore, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Double Eagle Energy | Oil, Gas and Chemicals | 90 | $18M | United States | ComboCurve | ComboCurve ComboCore | Predictive Analytics | 2023 | n/a |
In 2023 Double Eagle Energy implemented ComboCurve ComboCore as a unified A&D and reserves platform, deploying the application from the Predictive Analytics category to support faster deal evaluation and reserves workflows. The ComboCurve ComboCore deployment is positioned to centralize type curve workflows, quality control and bank/sponsor reporting across the organization in the United States.
Configuration centered on type curve generation, standardized QC routines and integrated reporting for banks and sponsors, while aligning reserves workflows with A&D valuation processes. The implementation leverages ComboCurve ComboCore capabilities common to Predictive Analytics solutions, including automated curve analytics and consolidated dataset management to support faster review cycles.
Integrations include export and conversion support to ARIES as part of the operational handoff for reserves reporting and certification. Operational coverage is across A&D and reserves functions, with outputs used directly in bank and sponsor communications and internal deal evaluation processes in the United States.
Governance focused on centralizing workflows and standardizing QC and reporting to reduce manual reconciliation between A&D and reserves teams. Vendor documentation published in June 2024 reports measurable efficiency gains and states the platform sped deal evaluations from weeks to days, reflecting documented operational outcomes from the deployment.
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Eqt | Oil, Gas and Chemicals | 1461 | $5.3B | United States | ComboCurve | ComboCurve ComboCore | Predictive Analytics | 2020 | n/a |
In 2020, EQT implemented ComboCurve ComboCore to automate reserves forecasting and economics within its United States operations. The implementation of ComboCurve ComboCore, a Predictive Analytics application, followed a mid 2020 trial and an October 2020 license, as documented in SEC filings and the vendor case study.
Configuration centered on reserves and forecasting workflows, with implementation workstreams for automated reserves forecasting models, economics calculation automation, scenario simulation, and scheduled report generation. The deployment emphasized model governance, version control, and audit trail capabilities common to Predictive Analytics systems to improve transparency for technical and regulatory review.
Operational coverage focused on reserves reporting and economics teams in the United States, where the solution was instrumented to feed standardized forecast outputs into the company reporting cadence. EQT reduced end to end reserves reporting time from three to four days to three to four hours, and the rollout moved from a mid year trial to a licensed production use in October 2020, with governance changes to support faster review cycles and SEC disclosure requirements.
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Wikimedia Foundation | Non Profit | 647 | $185M | United States | ComboCurve | ComboCurve ComboCore | Predictive Analytics | 2013 | n/a |
In 2013 Wikimedia Foundation implemented ComboCurve ComboCore as a Predictive Analytics application to augment performance monitoring across its global infrastructure administered from the United States. The implementation targeted SRE and infrastructure operations supporting bare metal and other servers where collectd collects CPU, disk, memory and other system metrics and forwards them to Graphite and Grafana for performance and synthetic testing.
ComboCurve ComboCore was configured to operate on aggregated system metrics, applying predictive analytics workflows such as time series forecasting, anomaly detection, and baseline modeling to support synthetic testing scenarios. Configuration efforts emphasized metric ingestion, alignment of retention policies with existing Graphite pipelines, and exposing forecast and anomaly outputs alongside existing dashboards.
The deployment was integrated with the existing collectd to Graphite and Grafana metric pipeline, enabling ComboCore to consume historic and real time metric streams for SRE use. Operational coverage encompassed Wikimedia Foundation administered infrastructure globally, with monitoring and dashboard practices captured in public Wikitech runbooks.
Governance centered on embedding predictive alerts and forecast views into SRE runbooks and incident response workflows, with configuration and dashboard ownership coordinated by the infrastructure teams. The implementation relied on ComboCurve ComboCore to provide predictive monitoring capabilities that worked in concert with the established collectd, Graphite, and Grafana stack.
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