List of IFS Industrial AI Customers
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Since 2010, our global team of researchers has been studying IFS Industrial AI 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 IFS Industrial AI for Generative AI Platforms 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 IFS Industrial AI for Generative AI Platforms include: Tomra Systems, a Norway based Manufacturing organisation with 5400 employees and revenues of $1.34 billion, Noble Drilling, a United States based Oil, Gas and Chemicals organisation with 1800 employees and revenues of $782.0 million and many others.
Contact us if you need a completed and verified list of companies using IFS Industrial AI, 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 IFS Industrial AI 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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Noble Drilling | Oil, Gas and Chemicals | 1800 | $782M | United States | IFS | IFS Industrial AI | Generative AI Platforms | 2024 | n/a |
In 2024 Noble Drilling implemented IFS Industrial AI as part of the IFS Cloud 24R2 release. The deployment introduced IFS Industrial AI into maintenance and asset management workflows, positioning the project within the Generative AI Platforms category and focusing on operational maintenance decisioning and predictive asset lifecycle management.
The implementation prioritized Predictive AI scenarios for event forecasting and anomaly detection, alongside contextual knowledge retrieval and recommendation capabilities to surface failure mode insights from unstructured maintenance records. Noble Drilling configured forecasting and optimization scenarios to better time component service and replacement, leveraging IFS Industrial AI scenario templates that also include Generative AI content and recommendation functions to support reporting and supplier decision support.
IFS Industrial AI was deployed as the embedded AI backbone within IFS Cloud workflows, integrating with IFS ERP, Enterprise Asset Management and Service Management capabilities to provide in-line asset health intelligence. At Noble Drilling the solution feeds AI-driven failure point signals into maintenance planning and engineering workflows, enabling maintenance process teams and planners to access actionable insights and to build evidence for interval and compliance decisions with OEMs and authorities.
Rollout at Noble Drilling used ready-to-use IFS.ai scenarios to enable rapid adoption without the need for expensive investments in toolkits or additional implementation resource. Noble's Manager, Maintenance Process & Solutions Kristian Mortensen reported that IFS.ai moves the organization closer to servicing or replacing components near predicted end of life and helps justify interval changes based on historic system insight, and customers using IFS.ai are noted as reporting rapid returns.
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Tomra Systems | Manufacturing | 5400 | $1.3B | Norway | IFS | IFS Industrial AI | Generative AI Platforms | 2024 | n/a |
In 2024, Tomra Systems participated in demonstrations of IFS Industrial AI delivered as part of IFS Cloud 24R2, where IFS presented generative workflows for planning, building and operating complex physical assets. The opening keynote used a fictional airport terminal scenario and included real customers such as Tomra and Xcel Energy to illustrate how generative functions can inform planning and operational decisions in manufacturing and recycling operations.
IFS Industrial AI is positioned within the Generative AI Platforms category and the demonstrations emphasized capabilities across planning, forecasting, procurement and operations. The sessions highlighted asset lifecycle analytics and frontline workforce orchestration, drawing on functionality from recently acquired Copperleaf Technologies for asset lifecycle management and Poka for connected frontline worker management, and showed the embedded IFS Cloud Sustainability Management module developed with PwC which includes a carbon emissions tracker with categories for waste generated in operations, transportation and distribution.
The technical narrative centered on integrating model-driven guidance with asset management and frontline workflows to support end to end operational use cases for customers like Tomra Systems. Demonstrations implied data flows from operational systems into IFS Cloud 24R2 where generative AI functions produce planning scenarios, procurement suggestions and frontline task guidance, aligning AI outputs with asset lifecycle and sustainability data streams.
Customers and analysts at the event noted practical promise alongside outstanding governance and rollout questions, including readiness for on-premises environments, clarity on what is commercially available and cost, and the need for formal data governance and validation processes. Tomra Systems was shown as a practical reference customer, with the overall implementation narrative focused on embedding generative AI into asset, procurement and frontline operational workflows while requiring customers to define integration, governance and verification steps before wider adoption.
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Buyer Intent: Companies Evaluating IFS Industrial AI
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