List of Ericsson Cognitive Network Solution Customers
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Since 2010, our global team of researchers has been studying Ericsson Cognitive Network Solution 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 Ericsson Cognitive Network Solution 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 Ericsson Cognitive Network Solution for Generative AI Platforms include: Telenor, a Norway based Communications organisation with 16000 employees and revenues of $10.50 billion, Mobily, a Saudi Arabia based Communications organisation with 8000 employees and revenues of $4.18 billion, Chunghwa Telecom Co., Ltd., a Taiwan based Banking and Financial Services organisation with 13 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using Ericsson Cognitive Network Solution, 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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Chunghwa Telecom Co., Ltd. | Banking and Financial Services | 13 | $2M | Taiwan | Ericsson | Ericsson Cognitive Network Solution | Generative AI Platforms | 2025 | n/a |
In 2025 Chunghwa Telecom Co., Ltd. implemented Ericsson Cognitive Network Solution as a Generative AI Platforms deployment for RAN and site management. The implementation bundled Ericsson Site Digital Twin, Ericsson Network Intelligence ENI, and Generative AI capabilities to provide predictive congestion modeling and automated resource optimization during peak events in Taiwan.
The deployment used a Site Digital Twin to model physical site layouts and traffic patterns, while Ericsson Network Intelligence provided closed loop automation to translate predictions into control actions. Generative AI Platforms functionality was applied to predict short term congestion and generate optimized configuration changes, enabling automated adjustments to radio resource allocations and site-level parameters without manual intervention.
Operational coverage centered on network operations and RAN site management across Taiwan, with the solution exercised during Taipei New Year’s Eve events in early 2025. Integration was implemented at the network control and site management layers to allow ENI driven orchestration to apply changes directly to RAN control loops and site configuration workflows, reducing the need for technicians on site.
Governance and operational processes were restructured to prioritize automated event response and digital twin validation workflows, with runbooks updated to accept AI-generated optimization recommendations. The implementation increased effective network capacity by nearly 14 percent during the surge events, while reducing on-site interventions and operational cost and maintaining 5G performance in high-traffic conditions.
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Mobily | Communications | 8000 | $4.2B | Saudi Arabia | Ericsson | Ericsson Cognitive Network Solution | Generative AI Platforms | 2024 | n/a |
In 2024, Mobily completed a trial of Ericsson Cognitive Network Solution using the Uplink Interference Optimizer from the Ericsson Cognitive Software portfolio. The assessment targeted 5G uplink performance across Mobily's 5G network and was executed as a network operations and RAN use case focused on throughput and spectral efficiency improvements.
The implementation exercised the Uplink Interference Optimizer module to detect high-interference uplink conditions and produce model-driven parameter recommendations and automated control adjustments consistent with Generative AI Platforms applied to radio access networks. Ericsson Cognitive Network Solution was configured to adjust uplink scheduling and interference mitigation parameters within RAN control loops, emphasizing uplink quality of service and spectral efficiency tuning.
Operationally the trial was integrated into Mobily's network operations workflows, with optimization outputs used to inform RAN control processes and operational playbooks. The scope of the trial covered Mobily's 5G RAN in Saudi Arabia and centered on network operations teams responsible for uplink performance and throughput management.
The trial demonstrated an increase in the share of transmissions under high-quality conditions by about 80 percent, indicating measurable uplink performance and spectral efficiency improvements in the evaluated environment. The project completed in 2024 and serves as a documented instance of Mobily using Ericsson Cognitive Network Solution within Generative AI Platforms for RAN optimization.
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Telenor | Communications | 16000 | $10.5B | Norway | Ericsson | Ericsson Cognitive Network Solution | Generative AI Platforms | 2025 | n/a |
In 2025, Telenor and Ericsson co-created an Agentic AI proof of concept that uses Ericsson Cognitive Network Solution. The work is categorized under Generative AI Platforms and focuses on autonomous radio controls to optimize RAN capacity and power consumption within Telenor’s Norway radio footprint.
The proof of concept leverages rApps running on Ericsson’s Intelligent Automation Platform, with Ericsson Cognitive Network Solution configured to host agentic automation for closed loop control of RAN parameters. Implemented functional capabilities include autonomous policy driven radio control and decision orchestration for capacity and energy management, aligned to RAN automation and network operations workflows.
Operational scope targeted network operations and engineering teams responsible for the Norway radio access network and used simulations to validate autonomous behavior prior to wider operational changes. Governance was handled through a co creation innovation partnership launched in 2025 to accelerate autonomous network capabilities, and simulations reported up to a 4% reduction in radio energy usage as part of the RAN automation PoC.
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