List of Ge Vernova GridOS Data Fabric Customers
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Since 2010, our global team of researchers has been studying Ge Vernova GridOS Data Fabric 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 Ge Vernova GridOS Data Fabric for Utilities Distribution Management 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 Ge Vernova GridOS Data Fabric for Utilities Distribution Management include: The Tata Power Company, a India based Utilities organisation with 23025 employees and revenues of $6.61 billion, Itron, a United States based Professional Services organisation with 5040 employees and revenues of $2.44 billion, Veitur, a Iceland based Utilities organisation with 246 employees and revenues of $306.0 million, Electric Reliability Council of Texas, a United States based Utilities organisation with 1200 employees and revenues of $238.0 million and many others.
Contact us if you need a completed and verified list of companies using Ge Vernova GridOS Data Fabric, 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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Electric Reliability Council of Texas | Utilities | 1200 | $238M | United States | Ge Vernova | Ge Vernova GridOS Data Fabric | Utilities Distribution Management | 2025 | n/a |
In 2025, Electric Reliability Council of Texas selected Ge Vernova GridOS Data Fabric as part of a proof of concept tied to GE Vernova's Distribution Awareness Platform and the publicly announced use of GridOS DERMS to gain near real time visibility of distributed energy resources. The selection positions Ge Vernova GridOS Data Fabric within the Utilities Distribution Management category to serve as the federated data foundation for the engagement.
The implementation narrative centers on a federated data fabric architecture that ingests and normalizes streaming telemetry, maintains a common asset and topology model, and provides time series and event stores to support DERMS workflows. Ge Vernova GridOS Data Fabric is described as the data layer that enables GridOS DERMS integration and the advertised EDAP integration in this engagement, providing data federation and API level access for downstream distribution operations tools.
Operational scope is focused on ERCOT distribution operations in Texas and on functions related to DER visibility and operational situational awareness. Governance for the proof of concept emphasizes phased pilot execution, data contracts and schema governance between ERCOT and GE Vernova, and orchestration of near real time data feeds into GridOS DERMS and EDAP to support real time operational workflows.
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Itron | Professional Services | 5040 | $2.4B | United States | Ge Vernova | Ge Vernova GridOS Data Fabric | Utilities Distribution Management | 2024 | n/a |
In 2024, Itron announced a collaboration with Ge Vernova to leverage Ge Vernova GridOS Data Fabric to unify grid edge AMI and DI telemetry with grid operations datasets within the Utilities Distribution Management category. The engagement, announced February 22, 2024, frames the GridOS Data Fabric deployment as a data consolidation and streaming layer to surface real time insights for distribution operations and DER orchestration.
Implementation focuses on deploying Ge Vernova GridOS Data Fabric as a centralized data fabric that ingests and normalizes AMI and DI streams alongside operational telemetry. Configuration and functional capabilities implemented center on data ingestion, normalization, contextualization, and real time streaming to enable forecasting workflows and DER activation logic consistent with Utilities Distribution Management functional patterns.
Integrations explicitly include unifying grid edge AMI and DI data with existing grid operations datasets to create a single operational view for distribution operators and DER managers. Governance is organized through the announced collaboration model, aligning distribution operations and DER orchestration processes, and the program targets improved forecasting and DER activation to improve grid reliability and DER orchestration as stated in the joint announcement.
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The Tata Power Company | Utilities | 23025 | $6.6B | India | Ge Vernova | Ge Vernova GridOS Data Fabric | Utilities Distribution Management | 2024 | n/a |
In 2024, The Tata Power Company began a collaboration to deploy Ge Vernova GridOS Data Fabric as part of its Utilities Distribution Management efforts. The initiative is framed as a pilot in India focused on addressing operational complexity from variable renewable generation and growing electric vehicle loads within Tata Power's transmission and distribution operations.
The deployment centers on Ge Vernova GridOS Data Fabric capabilities for grid data management, including centralized time series ingestion, normalization and contextualization of distribution grid telemetry, and model-enabled forecasting pipelines to support grid balancing. The Tata Power implementation emphasizes use of the GridOS Data Fabric application to consolidate distributed data feeds and to provision forecasting outputs into operational workflows for distribution system operators.
Operational coverage is explicitly within Tata Power's transmission and distribution operations in India, targeting forecasting and grid balancing use cases driven by DER and EV variability. The work is described as a collaboration or pilot with Ge Vernova to validate data fabric driven forecasting, without public disclosure of specific downstream system integrations.
Governance for the pilot is structured around collaboration between Tata Power operational teams and Ge Vernova product engineers, focusing on iterative validation of forecasting models and grid balancing scenarios. The stated objective of the Ge Vernova GridOS Data Fabric engagement is to improve forecasting and grid balancing across Tata Power's distribution operations, aligning the application to Utilities Distribution Management functional workflows.
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Utilities | 246 | $306M | Iceland | Ge Vernova | Ge Vernova GridOS Data Fabric | Utilities Distribution Management | 2025 | n/a |
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