List of Uptake Asset Strategy Library Explorer Customers
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Since 2010, our global team of researchers has been studying Uptake Asset Strategy Library Explorer 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 Uptake Asset Strategy Library Explorer 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 Uptake Asset Strategy Library Explorer for Asset Performance Management include: United States Army, a United States based Government organisation with 453551 employees and revenues of $65.25 billion, Suncor, a Canada based Oil, Gas and Chemicals organisation with 15010 employees and revenues of $40.33 billion, Rolls-Royce Holdings, a United Kingdom based Aerospace and Defense organisation with 42400 employees and revenues of $25.91 billion, Corporacion Nacional del Cobre de Chile (Codelco), a Chile based Oil, Gas and Chemicals organisation with 15831 employees and revenues of $16.99 billion, Ameren, a United States based Utilities organisation with 8981 employees and revenues of $7.62 billion and many others.
Contact us if you need a completed and verified list of companies using Uptake Asset Strategy Library Explorer, 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 Uptake Asset Strategy Library Explorer 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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Ameren | Utilities | 8981 | $7.6B | United States | Uptake | Uptake Asset Strategy Library Explorer | Asset Performance Management | 2019 | n/a |
In 2019, Ameren deployed Uptake Asset Strategy Library Explorer under the Asset Performance Management category to develop a data driven, strategic maintenance program for critical electrical assets. The deployment used Uptake Industrial AI together with the Uptake Asset Strategy Library Explorer to standardize equipment failure mode analysis and maintenance task definitions across targeted asset classes.
The implementation centered on the Asset Strategy Library capability, leveraging the world’s largest database of industrial equipment types, failure modes and maintenance tasks to configure financially optimized maintenance strategies. The Uptake Asset Strategy Library Explorer was used to model maintenance task frequency and task types, and to codify strategy changes into Ameren’s asset management practice.
Operational coverage focused on electrical rotating and pump equipment and impacted asset management and maintenance planning functions, including reliability engineering and preventive maintenance scheduling. Four component types were identified for strategy changes, Low Voltage Motors, Horizontal Medium Voltage Motors, Vertical Pumps, and Vertical Medium Voltage Motors.
Governance for the program established data driven decisioning for maintenance prioritization and a repeatable process for evaluating equipment level strategies. The outcomes reported include saving over $600K in total annualized value through financially optimized maintenance strategies documented and enacted via the Uptake Asset Strategy Library Explorer.
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Corporacion Nacional del Cobre de Chile (Codelco) | Oil, Gas and Chemicals | 15831 | $17.0B | Chile | Uptake | Uptake Asset Strategy Library Explorer | Asset Performance Management | 2019 | n/a |
In 2019 Corporacion Nacional del Cobre de Chile, Codelco deployed Uptake Asset Strategy Library Explorer as an Asset Performance Management solution at its División Ministro Hales operation in Calama, Chile. The initial deployment covers mining and processing equipment including grinding mills, roasters, crushers, pumps and haul trucks, with an explicit intent to create a comprehensive enterprise-wide APM solution across all Codelco operating mines.
Uptake Asset Strategy Library Explorer was configured to ingest operational data and apply artificial intelligence driven predictive analytics to monitor machine health, surface anomalies and predict maintenance needs, supporting condition-based and predictive maintenance workflows. Functional capabilities implemented align with Asset Performance Management practices and include asset health monitoring, failure prediction and prioritized maintenance insights to increase visibility into equipment condition and forecasted risk.
The implementation is instrumented at equipment and process points across the División Ministro Hales site, leveraging sensor and telemetry data to feed APM models and generate operational alerts and health scoring. The project scope explicitly spans grinding mills, roasters, crushers, pumps and haul trucks among other machines, and is positioned as a foundational APM layer intended to scale across Codelco's operating mines.
Codelco leadership framed the deployment as a program to use AI to make best use of operational data and to ensure efficient operations and predictive maintenance, with Jaime Rivera noting goals of boosting mining productivity, reducing costs and maintaining safe machine operations through the predictive capabilities of Uptake's APM software. Uptake leadership emphasized support for Codelco's data-first approach and increasing visibility into the real-time and future health of mining machines as core outcomes of the Uptake Asset Strategy Library Explorer deployment.
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ENMAX | Utilities | 1549 | $2.7B | Canada | Uptake | Uptake Asset Strategy Library Explorer | Asset Performance Management | 2018 | n/a |
In 2018, ENMAX implemented Uptake Asset Strategy Library Explorer, an Asset Performance Management application, to embed the acquired Asset Strategy Library into its maintenance decisioning. ENMAX was an existing customer of Asset Performance Technologies prior to the Uptake acquisition, and the 2018 deployment aligned the utility with Uptake’s industrial AI and asset knowledge stack.
The Uptake Asset Strategy Library Explorer implementation centralized the Asset Strategy Library content, including failure mode information for nearly 800 equipment types, and exposed Preventance APM style functionality for preventive and condition based maintenance optimization. The deployment emphasized content driven capabilities, such as failure mode catalogs, recommended inspection and maintenance actions, and rule sets that dynamically adjust to changing operating conditions and plant requirements.
Operationally the Uptake Asset Strategy Library Explorer was integrated into Uptake’s industrial AI and IoT product set to feed a richer industrial asset graph, enabling learning digital twin constructs that improve over time. The implementation focused on translating the ASL content into actionable asset intelligence for maintenance and operations teams, mapping how subsystems, components and machines relate across ENMAX asset estates and supporting condition driven decision workflows.
Governance changes concentrated on centralizing failure mode knowledge and standardizing maintenance strategy inputs, allowing ENMAX to align preventive and condition based maintenance policies with the ASL content. The implementation supported process discipline for inspection frequency, failure mode attribution and decision rules, enabling maintenance governance to incorporate learning model outputs alongside engineering judgment.
Documented outcomes from the source for deployments using the Asset Strategy Library include increased operational uptime, improved plant reliability and reduced operations and maintenance costs, driven by dynamic adjustment of maintenance strategies and the creation of learning digital twins. The Uptake Asset Strategy Library Explorer therefore positioned ENMAX within an Asset Performance Management framework that combines detailed failure mode content with industrial AI to operationalize condition based maintenance.
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Palo Verde Generating Station | Utilities | 2500 | $2.0B | United States | Uptake | Uptake Asset Strategy Library Explorer | Asset Performance Management | 2018 | n/a |
In 2018 Palo Verde Generating Station implemented Uptake Asset Strategy Library Explorer as an Industrial AI solution in the Asset Performance Management category. The deployment targeted the plant group that operates three of the top five largest nuclear power plants in the United States, addressing market pressure from flat demand and rising renewable penetration while focusing on maintenance cost efficiency and operational availability.
The implementation centered on Uptake Asset Strategy Library Explorer capabilities, including asset performance modeling, PM strategy simulation, and analytics-driven prioritization of maintenance tasks. The solution provided a strategy library to evaluate changes in preventative maintenance approaches and forecast the cost implications of alternative PM strategies, enabling data driven maintenance planning and risk based work selection.
Deployment covered plant maintenance and PM programs across Palo Verde facilities, with the platform used by maintenance planners, reliability engineers, and operations leadership to inform work scopes and scheduling. Integration details were limited, the implementation emphasized centralized analytics and standardization of PM evaluation workflows to create a single source of truth for strategy comparison across units.
Governance changes focused on formalizing PM strategy evaluation and establishing ongoing review cycles driven by the Uptake analytics output, shifting decision authority toward condition based and cost impact criteria. The change reduced unnecessary preventive tasks, tightened change control around PM updates, and restructured planning processes to reduce planned and unplanned maintenance exposure for field crews.
The project delivered explicitly reported outcomes including $10 million in annual cost savings and a 20 percent reduction in maintenance costs, a 37 percent reduction in annual working hours spent on preventive and corrective maintenance, higher capacity factor with record power production levels, and a 57 percent reduction in worker radiation exposure from eliminated work. Palo Verde received an industry Uptime Award for the use case, and Section Leader John Langskov stated, "The defining characteristic of this product is it gives me a way to evaluate the change in my costs moving forward, based on the change of the PM strategies that I’m looking at implementing."
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Rolls-Royce Holdings | Aerospace and Defense | 42400 | $25.9B | United Kingdom | Uptake | Uptake Asset Strategy Library Explorer | Asset Performance Management | 2018 | n/a |
In 2018, Rolls-Royce Holdings implemented Uptake Asset Strategy Library Explorer as part of an Asset Performance Management initiative aimed at its Trent engine fleet. The deployment was positioned to complement Rolls-Royce’s R2 Data Labs and its TotalCare service, aligning the Uptake Asset Strategy Library Explorer with operational goals to maximize engine availability and detect operational issues before they occur.
The implementation used Uptake’s Asset Strategy Library content and pre-trained machine learning models to provide equipment type, failure mechanism, and maintenance task knowledge alongside predictive analytics. Uptake Asset Strategy Library Explorer surfaced that industry content to support condition monitoring and prognostics workflows, enabling data-science-first analyses across connected and unconnected asset signals.
Integration work focused on ingesting disparate datasets from Rolls-Royce operational sources and R2 Data Labs pipelines to unify telemetry, maintenance records, and operational logs for the Trent fleet. The architecture layered Uptake’s industrial AI and IoT platform capabilities on top of existing data science assets, creating a hybrid model where in-house analytics and Uptake models contributed to a single asset performance environment.
Governance shifted toward a centralized data-science operating model, with R2 Data Labs accelerating experimentation and Uptake content informing maintenance strategy and decisioning for TotalCare operations. Explicit outcomes stated by stakeholders included improved uptime and availability for the Trent engine fleet and earlier identification of emerging failures, supporting Rolls-Royce’s service delivery commitments to airline customers.
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Oil, Gas and Chemicals | 32000 | $3.7B | Saudi Arabia | Uptake | Uptake Asset Strategy Library Explorer | Asset Performance Management | 2018 | n/a |
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Oil, Gas and Chemicals | 15010 | $40.3B | Canada | Uptake | Uptake Asset Strategy Library Explorer | Asset Performance Management | 2018 | n/a |
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Manufacturing | 22053 | $1.6B | United States | Uptake | Uptake Asset Strategy Library Explorer | Asset Performance Management | 2018 | n/a |
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Government | 453551 | $65.3B | United States | Uptake | Uptake Asset Strategy Library Explorer | Asset Performance Management | 2018 | n/a |
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Government | 1000 | $250M | United States | Uptake | Uptake Asset Strategy Library Explorer | Asset Performance Management | 2019 | n/a |
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Buyer Intent: Companies Evaluating Uptake Asset Strategy Library Explorer
- NEOM, a Saudi Arabia based Government organization with 6000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
| NEOM | Government | 6000 | $1.5B | Saudi Arabia | 2025-04-09 |