List of IPS Luna Customers
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Since 2010, our global team of researchers has been studying IPS Luna 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 IPS Luna for Asset Performance 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 IPS Luna for Asset Performance Management include: Tenaga Nasional, a Malaysia based Utilities organisation with 30571 employees and revenues of $12.11 billion, Distributie Oltenia Romania, a Romania based Distribution organisation with 1500 employees and revenues of $358.0 million, Georgian Stock Exchange, a Georgia based Banking and Financial Services organisation with 30 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using IPS Luna, 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.
The IPS Luna customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Distributie Oltenia Romania | Distribution | 1500 | $358M | Romania | IPS | IPS Luna | Asset Performance Management | 2020 | ADREM ENGINEERING |
In 2020, Distributie Oltenia implemented IPS Luna, an Asset Performance Management application from IPS, with local support from ADREM ENGINEERING. The engagement focused on modernizing grid investment planning across the Oltenia region by embedding IPS Luna analytics and real-time asset health data into planning workflows, improving resource allocation, regulatory compliance and planning transparency.
Deployment centered on IPS Luna modules for advanced simulation and analytics, real-time asset health monitoring, and investment planning dashboards for scenario analysis. Configuration included analytic models for asset condition scoring, scenario simulation for investment prioritization and visual planning interfaces to support capital budgeting decisions. These APM style capabilities were instrumented to feed continuous health indicators into investment scenarios.
Integration work connected IPS Luna to operational planning workflows and asset condition data streams used by grid investment planners and asset management teams, with ADREM ENGINEERING providing local implementation and handover support. The solution architecture combined a telemetry ingestion layer, an analytics engine and simulation modules feeding planning dashboards and reporting views used by regional planners and regulatory reporting functions.
Governance changes established new processes for scenario governance, approval gates and transparency in investment prioritization, aligning operational planning with regulatory reporting requirements. Rollout was staged with IPS and ADREM ENGINEERING configuring production analytics and transferring operational ownership to Distributie Oltenia planning teams.
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Georgian Stock Exchange | Banking and Financial Services | 30 | $2M | Georgia | IPS | IPS Luna | Asset Performance Management | 2016 | n/a |
In 2016 Georgian Stock Exchange implemented IPS Luna as part of an Asset Performance Management deployment tied to a Work and Asset Management programme that ran from January 2016 to January 2019. The record of the programme cites use of IPS®EAM and IPS®APM alongside IPS Luna to centralize asset information and enable condition based maintenance strategies across the exchange infrastructure.
The technical implementation combined enterprise asset and work management with predictive and condition monitoring capabilities, reflecting IPS®EAM for asset and work order lifecycles and IPS®APM for analytics and condition assessment. IPS Luna is referenced as the machine learning and analytics layer inferred to support predictive modelling, anomaly detection, and asset health scoring within the Asset Performance Management scope.
Operational coverage targeted substations and transmission lines across Georgia, with configuration focused on centralizing asset data, consolidating inspection and telemetry inputs, and improving maintenance scheduling and planning. Governance and rollout were coordinated under the multi year programme, aligning operations and maintenance processes to support condition based strategies and centralized asset data management.
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Tenaga Nasional | Utilities | 30571 | $12.1B | Malaysia | IPS | IPS Luna | Asset Performance Management | 2018 | n/a |
In 2018 Tenaga Nasional deployed IPS Luna as a nation-scale Asset Performance Management implementation across its distribution and transmission networks in Malaysia. The deployment centralized predictive analytics and condition monitoring using IPS Luna to establish a unified Asset Performance Management platform for grid assets.
The implementation leveraged the IPS Luna machine learning APM module to enable predictive maintenance, automated workflows, and enhanced asset health evaluations. Configuration work focused on anomaly detection, time-series analytics, and prioritization logic to surface failure risk and drive maintenance sequencing consistent with Asset Performance Management workflows.
Integrations were explicit, IPS Luna was connected to SAP EAM and IBM Maximo to synchronize work orders, asset registers, and condition data between the APM layer and enterprise maintenance systems. Operational coverage targeted maintenance and operations functions across transmission and distribution sites in Malaysia, providing consolidated asset health views and orchestration into existing EAM processes.
Governance changes embedded automated workflows and predictive maintenance triggers into routine maintenance operations, standardizing inspection and remediation processes. Reported outcomes included improved asset health evaluations and reduced downtime across TNB’s networks in Malaysia.
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Buyer Intent: Companies Evaluating IPS Luna
- American Electric Power, a United States based Utilities organization with 16330 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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