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Stop Renting Your Intelligence: Why Mobile Operators are Moving AI On-Premise

The AI gold rush is on, but there’s a quiet crisis brewing in the background:

Data Pollution. As mobile operators race to integrate AI into network optimization and customer experience, they are realizing that a model is only as good as the data it’s fed. If your data is siloed in a third-party cloud, stripped of its context, or subject to foreign jurisdiction, your AI isnt just ”weak”—it’s a liability.

At Netradar, we believe the future of AI in Telecom belongs to those who own their data, from the moment of collection to the final insight.

Why Data Sovereignty is the Secret Sauce for 2026

For a mobile operator, data sovereignty isn’t just a compliance checkbox; it is a competitive moat. When you deploy an on-premise solution that allows you to collect data from your own apps into a private system, you gain three critical advantages:

  1. 100% Exclusivity: Your competitors can’t ”buy” their way into the same insights. The data you collect from your users stays within your four walls, training models that understand your specific network topology and your unique customer behavior.
  2. Unmatched Data Quality: Cloud-based analytics often aggregate and ”thin out” data to save on transit costs. On-premise deployment removes these bottlenecks, allowing for high-granularity, real-time data collection that captures the ”edge cases” where AI truly proves its value.
  3. Regulatory Immunity: With the EU AI Act and local data localization laws (like those in the US and Middle East) reaching full maturity in 2026, keeping data in-house isnt just safer—it’s the only way to scale without fear of massive fines.

Practical World: Why This Matters Today

To understand the stakes, look at these two common scenarios:

  • The 5G ”Silent Failure” Challenge: A major operator notices a localized drop in 5G performance during stadium events. A cloud-based generic tool misses the nuance because it smooths over the data. By using Netradar’s on-premise engine, the operator can collect millisecond-level telemetry directly from the user apps. Their AI identifies a specific interference pattern unique to that stadiums architecture, allowing them to fix the issue before the next game.
  • The Mission-Critical Private Network: Imagine a smart port or a remote mine. These environments cannot afford for their performance data to traverse the public internet for ”processing”. With a private, on-premise system, the AI handles predictive maintenance of the network locally. The data never leaves the facility, ensuring zero latency and 100% security for high-stakes industrial operations.

The Bottom Line for Operators

Stop ”renting” your insights from third-party clouds. To build a truly intelligent, autonomous network, you need a foundation built on sovereign, high-fidelity data.

Netradar provides the end-to-end tools to make this a reality—deployed on your terms, in your infrastructure.

We look forward to our future collaboration. If you need more info, feel free to contact us.

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MWC26 Key Takeaways

Another inspiring week at MWC 2026 in Barcelona. Great discussions with operators, regulators, and partners on how the telecom industry is evolving.

A few key takeaways:

  • Customer experience is the new network KPI:
    Operators are increasingly measuring network success through real user experience, not only traditional network metrics.
  • Improving the worst 10% matters more than awards:
    Fixing the poorest user experiences has a greater impact than winning benchmark rankings.
  •  Data-driven operations are becoming critical:
    Teams want faster issue detection, clearer root-cause insights, and the ability to act before customers are impacted.
  • AI, automation, and data sovereignty:
    AI is everywhere, but meaningful automation depends on high-quality, unbiased data — and operators are increasingly focused on keeping that data under their own control.
  • 5G network slicing and service differentiation:
    As operators explore slicing for new services and guarantees, accurate experience visibility becomes even more important.
  • D2D satellite is moving from concept to reality:
    Direct-to-device satellite connectivity is becoming part of the mobile ecosystem

At Netradar, these trends strongly align with our mission:
Providing continuous, real-user network experience visibility through private and exclusive operator deployments that support data sovereignty, help improve service quality, and ultimately reduce customer churn.

Thanks to everyone we met — looking forward to continuing the
conversations.

We look forward to our future collaboration. If you need more info, feel free to contact us.

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Netradar at TM Forum’s Innovate Asia: A Catalyst Built on Collaboration

This week, Netradar had the privilege of joining TM Forum’s Innovate Asia, one of the region’s most influential gatherings for telecom innovation. The event brought together operators, vendors, and technology leaders shaping the future of digital networks.

Throughout the event, we met with 50+ customers and partners across APAC, holding deep discussions on network experience, AI-driven automation, and the future of customer-centric telecom operations. It was an inspiring platform to exchange ideas, explore new opportunities, and showcase the collective achievements of our ecosystem.

Proud to Be Finalists in Two Award Categories

We are delighted to share that our joint Catalyst project was selected as a finalist in not one, but two categories at Innovate Asia:
Business Gamechanger and Innovation with Purpose.

This recognition is a strong validation of the collaborative work we’ve done to help telecom operators rethink how they invest, optimize, and deliver customer experience more effectively.

About the Catalyst

Our Catalyst focused on solving one of the industry’s biggest challenges:
How can operators make smarter, real-time, customer-centric network investment decisions?

By combining AI-driven analytics, a decentralized Physical Infrastructure Network (DePIN) model, and continuous real user experience data, the solution transforms everyday smartphones into a global sensing network. Users are incentivized transparently through blockchain-backed rewards, while operators gain:

  • 24/7 hybrid-quality customer experience insights
  • AI-driven root-cause analysis for faster troubleshooting
  • Predictive congestion and targeted investment recommendations
  • 10–15% improvement in customer retention
  • Up to 10% reduction in CAPEX

This marks a significant shift from traditional engineering-led investment decisions toward experience-led, data-driven network optimization.

A Celebration of Partnership

While becoming finalists is something we’re truly proud of, the real success of this Catalyst lies
in the exceptional collaboration behind it.

From designing the concept to aligning the technical architecture and business outcomes, every partner brought unique expertise, energy, and a commitment to innovation. This joint effort shows what can be achieved when we combine strengths and work toward a shared purpose.

Looking Ahead

Innovate Asia reinforced an important message: the future of telecom lies in openness—open data, open collaboration, and open innovation across operators, vendors, and communities.

We’re proud of what we achieved together at Innovate Asia, and we’re excited for the next steps as we continue scaling this approach globally with our partners and customers.

We look forward to our future collaboration. If you need more info, feel free to contact us.

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Rising Star Award at DTW25: AI-Powered Revolution in Customer Experience

We’re thrilled to announce that our Catalyst project, “AI-Powered End-to-End Solution for Customer Experience,” has been honored with the prestigious Rising Star Award at DTW25! This recognition from TM Forum, awarded among 58 innovative projects, underscores the groundbreaking nature and significant impact of our work in transforming customer experience for Communication Service Providers (CSPs). Our project was even nominated as a Finalist in all three categories we applied for, highlighting its broad appeal and strong potential.

This success wouldn’t have been possible without the invaluable collaboration of pioneer CSPs like stc, du, Türk Telekom, Mauritius Telecom, and NTT, as well as our key partners Nokia and MLnetworks. Working together, we’ve tackled critical challenges in network management and customer satisfaction by leveraging cutting-edge AI and a Decentralized Physical Infrastructure Network (DePIN) based blockchain incentive mechanism. This innovative approach ensures a secure, transparent, and privacy-centric method for collecting invaluable user data, allowing CSPs to proactively address customer issues and optimize their networks.

Key Outcomes and Achievements of Our Award-Winning Project

  • Secure and Transparent Data Collection: Our DePIN-based blockchain incentive mechanism fundamentally redefines user consent and participation in data collection. This ensures unparalleled security, transparency, and privacy, empowering users while providing CSPs with the data they need.
  • Massive Data Collection Scale: Utilizing hybrid 24/7 data collection technology, we’re able to gather 1000 times more user-experience data than traditional legacy solutions. This unprecedented volume provides a comprehensive and granular view of network performance and user perception.
  • Tangible Network Performance Improvements: Real-world field implementations have demonstrated remarkable results:
    • Over 10% improvement in user download/upload throughput.
    • Over 6% increase in cell volume.
    • Over 4dB improvement in coverage and quality.
  • Enhanced Customer Perception and NPS: By achieving a 10-15% improvement in throughput performance, our solution translates to a 10-15% improvement in customer perception. This is achieved by enabling quick, end-to-end root cause analysis, allowing CSPs to proactively address customer issues and drive significant improvements in Net Promoter Score (NPS).
  • Significant OPEX and CAPEX Reductions: Our solution delivers substantial cost efficiencies:
    • 15-20% decrease in OPEX through energy-efficient data collection and network improvements.
    • 10% decrease in CAPEX through targeted investments that maintain high customer quality.

Wider Societal Impact and Commitment to Sustainability

Beyond direct business benefits, our project also contributes significantly to broader societal well-being and environmental sustainability:

  • Reduced Road Accidents and CO2 Emissions: The use of crowd-sourced data dramatically reduces the need for in-field visits for network measurements. This is estimated to lead to a reduction of 160 road accidents and the avoidance of 16,200 tons of CO2e annually, making a tangible positive impact on road safety and the environment.
  • Sustainable and Efficient Solution: Our commitment to sustainability is embedded in our design. Our solution utilizes as little data as possible, requires minimal new hardware resources, yet still provides CSPs with sufficient actionable intelligence to optimize their operations and enhance customer experience.

The Rising Star Award at DTW25 is a testament to our team’s dedication, innovation, and the transformative potential of our solution. We’re incredibly proud of this achievement and remain committed to leading the change in creating more efficient, sustainable, and customer-centric telecommunications experiences worldwide.

Our CSP champions have lauded the project’s impact, as you can see from their testimonials below:

“We lead the charge in sustainability by fully digitalizing usiness operations. This involves utilizing new, sustainable technologies and introducing advanced tools to enable a comprehensive digital ecosystem.”

 

Saeed Julfar, Director, Network Excellence & Quality

“We have set new benchmarks in connecting Saudi Arabia to the world through cutting-edge digital solutions. Recognized with accolades like TM Forum’s Running-on-ODA accreditation, stc is reshaping industry standards across the Middle East.”

 

Fahad Badeghaish, Snr Director, Network & Service Optimization

“The visibility on the network issues will also provide better insight on the customer related issues such as device and increase the first line resolution bringing further clarity to the customer and savings.”

 

Nishi Munbodh Mohun, Head of Customer Experience

“Netradar’s crowdsourced data and Nokia and MLnetworks AI/ML engines with our expertise to optimize coverage of our radio network. This enhanced efficiency, reduced costs, improved user experience, and decreased customer complaints.”

 

Yılmaz Çelik, Mobile Network Optimization Group Manager

“NTT DOCOMO will detect where improvements are needed at an early stage and implement appropriate measures quickly in order to achieve the No. 1 position in Japan in terms of mobile network experience assessment.”

 

Mr Okagawa, Senior VP General Manager, R&D Strategy Dept

“We are a service provider that understands customer needs accurately on a global scale, offers the most appropriate solution for these needs, and continuously improves its service and infrastructure.”

 

Ercan Emiroğlu, Quality Assurance Group Manager

We look forward to our future collaboration. If you need more info, feel free to contact us.

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AI, Autonomous Networks & Data: Telecom’s Next Frontier – Key takeaways from FutureNet World 2025

At FutureNet World 2025, one message was clear: AI, data, and automation are redefining how telecom operators run and optimize their networks—and Autonomous Networks (AN) are the foundation of this transformation.

  • Autonomous Networks (AN): The Road to Level 5
    Defined by TM Forum, ANs progress from Level 0 (manual) to Level 5 (fully autonomous). Many operators are actively implementing Level 3–4, using predictive analytics, AI, and closed-loop automation to drive smarter network decisions with minimal human intervention.

  •  Right Data, Right Format, Real Results
    AI’s success depends on unified data strategies. A recurring theme was: “Right data, right time, right format.”
    Many CSPs still struggle with fragmented data ecosystems—limiting the full impact of AI investments. Leading operators are investing in data lakes, cataloging systems, and standardized formats to ensure AI tools have the fuel they need to deliver real business value.
  • AI in Action: Real CSP Results:
    One Tier-1 operator revealed they’ve built a consolidated AI platform used by over 50,000 employees daily. It acts like a digital assistant—alerting field engineers and operations teams to priority tasks each morning, directly contributing to EBITDA growth.

  • Open Ecosystems & Intelligent Agents

    New technologies such as:

    • MCP (Model Context Protocol) – a shared language for multi-agent AI systems.
    • Agent-to-agent communication protocols – enabling AI to integrate across Slack, Jira, fault management, and other tools.
    • Multi-agent AI ecosystems – enabling contextual recommendations across departments.

  • Business Value Unlocked

    AI-driven AN solutions are already delivering:

    • 5–15% OPEX and CAPEX savings
    • 10% increase in customer retention via proactive issue resolution
    • Faster time to action and reduced complaints

 

  • Netradar’s Role in the Journey

    Netradar enables CSPs to achieve these results by providing 24/7 user-experience monitoring directly from customer devices. Our AI-powered root-cause analysis, predictive insights, and user journey analytics are built for the AN roadmap—bringing clarity to customer pain points and helping operators move decisively toward Level 4 autonomy.


  • Final Thought

    The advice from industry leaders? Don’t wait. Build your AI roadmap today. Use the data you already have. Focus on impact. The opportunity is here—now.

We look forward to our future collaboration. If you need more info, feel free to contact us.

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Measuring Real User Experience Without Prioritization or Manipulation

The Challenge: Are We Measuring What Really Matters?

Traditional mobile network measurement platforms often rely on synthetic methodologies — speed test apps or SDKs integrated into third-party applications. While these approaches can be scaled quickly, they introduce significant technical limitations:

  • Traffic Prioritization: Speed test traffic is often identifiable and treated preferentially by core networks. Operators can detect these flows and prioritize them similarly to VoLTE traffic, resulting in inflated performance metrics.
  • SDK Visibility: Measurement SDKs embedded in third-party apps send traffic to known endpoints (often CDNs such as Google or Amazon). App analytics platforms can reveal which apps include which SDKs. This makes it easy for operators to identify the apps and prioritize measurement traffic, biasing results.
  • CDN Dependence: The performance of CDN-based tests varies based on an operator’s caching strategy and commercial agreements. Operators with local caches or direct CDN peering show better results — even if their real-world user experience is not superior.

These issues result in measurements that are not representative of the everyday mobile experience. The flaws in these comparisons are not just theoretical — they are visible in public reports. In fact, two of the leading third-party crowdsourcing platforms recently published rankings where the mobile operators ranked #1 and #2 globally in one report were ranked only #50 and #54 in the other. Such stark discrepancies highlight how poorly these measurement systems reflect true performance and how easily they can be skewed. Instead, they reflect how well a network can optimize specific, known traffic — not how it performs under real conditions.

Netradar's Approach: Passive, Hybrid, and Immune to Manipulation

At Netradar, we fundamentally rethink how user experience should be measured.

Developed at Aalto University, our hybrid measurement methodology avoids synthetic testing altogether. Instead, we focus on real user interactions and actual traffic patterns:

  • Passive Monitoring: Netradar passively analyzes all data transfers 24/7 on the device as they occur, without the need for active speed tests or fixed test endpoints.
  • Real User-Experience: Our system measures user throughput, latency, and latency behaviour under real load conditions — as users browse, stream, and interact with their apps.
  • ML/AI-Driven Analysis: We use machine learning to detect top-speed performance, network satisfaction, and signs of congestion or throttling, all without injecting test traffic.
  • No Fingerprints, No Targets: Since we don’t rely on synthetic probes or known destinations, and only focus on behaviour of latency not the absolute value, Netradar traffic is indistinguishable from normal user activity. This makes it impossible for operators to shape or prioritize Netradar measurements.

Why This Matters

  • 100% Resistance to Traffic Prioritization: There are no test signatures or identifiable flows — so there is no opportunity for manipulation.
  • Unbiased Across Networks: Our methodology ensures a level playing field for all operators, regardless of their CDN agreements or caching infrastructure.
  • Real-World Accuracy: We measure what users actually experience, not an optimized subset of test scenarios.
  • Trusted by Regulators and Operators: With a methodology grounded in academic research and industry collaboration, Netradar provides the transparency and reliability needed for data-driven decision-making.

Supporting Telecom Regulators with Independent and Accurate Data

Telecom Regulators play a critical role in ensuring fair competition and high-quality service delivery across mobile operators. However, traditional measurement systems often fall short in providing the full picture. Relying solely on operator-reported KPIs or legacy crowdsourcing methods leaves regulators exposed to incomplete, biased, or manipulated data.

Netradar offers regulators an independent, technically robust solution for monitoring true user experience 24/7 across all networks. By eliminating test traffic that can be optimized or prioritized by operators, our system provides a neutral, consistent dataset — free from manipulation and aligned with real-world user conditions.

This empowers regulators to:

  • Conduct accurate benchmarking of operator performance
  • Detect discrepancies between reported KPIs and real user experience
  • Promote data-driven policy making and spectrum management
  • Increase transparency and trust with the public and industry stakeholders

With Netradar, regulators are equipped with the insights they need to uphold service quality, ensure fairness, and drive continuous network improvement.

The Bottom Line

Accurate measurement of mobile user experience requires more than just convenience — it requires integrity in methodology. By eliminating the possibility of prioritization and manipulation, Netradar delivers true, unbiased, and consistent insights that reflect the real-world experience of mobile users.

If you’re seeking a network measurement solution that offers technical rigor and real-world validity, Netradar is the answer — for both operators and regulators alike.

We look forward to our future collaboration. If you need more info, feel free to contact us.

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Netradar MWC 2025 Takeaways: Shaping the Future of Connectivity Together

Last week at #MWC25, we had the incredible opportunity to showcase Netradar’s innovative solutions at the Finland Pavilion, organized by Business Finland. Our team had over 50 productive meetings with customers, partners, and industry stakeholders, discussing how 5G, AI, and automation are redefining the telecom industry. One key message was clear: the future of connectivity must be proactive, data-driven, and user-centric.

At Netradar, we believe that “Every connection matters”, and this year’s conversations reinforced our commitment to innovation and better connectivity. These conversations were also invaluable in understanding the challenges and opportunities shaping the telecom landscape. 

Some of Top Priorities we heard include: 

  • Proactive network improvements – Operators are shifting from reactive troubleshooting to proactive network management, using AI-driven analytics to detect and resolve issues before they affect end users. This shift is critical for ensuring seamless connectivity and improved customer satisfaction.

  • End-user driven customer experience insights – Traditional network KPIs no longer tell the full story. There’s a strong need for real-world performance insights based on end-user experience, enabling operators to make targeted improvements where it matters most.

  • Root-cause analysis and real-time issue detection – Understanding the source of network issues is more important than ever. Operators are looking for solutions that provide granular-level insights into problem areas, helping them pinpoint issues faster and optimize network performance efficiently.

  • Fixed-Mobile convergence use cases – The demand for seamless connectivity across mobile and fixed networks continues to rise. Operators are exploring ways to unify these experiences, ensuring consistent quality regardless of the access technology.

  • Predictive analytics for network performance – AI and machine learning are transforming network operations, allowing operators to anticipate performance bottlenecks and optimize resources before they impact customers. This enables smarter resource allocation and better service reliability.

  • Real-time customer complaint collection and issue analysis – Customers today expect quick resolutions. Telcos are looking for automated, AI-powered complaint analysis solutions that help detect patterns in customer feedback and correlate them with network events to drive faster responses.

MWC 2025 highlighted the incredible potential of 5G, AI, and automation to reshape the telecom landscape. At Netradar, we’re excited to continue driving innovation and delivering solutions that ensure every connection truly matters. Together, let’s build a smarter, more connected future.

We look forward to our future collaboration. If you need more info, feel free to contact us.

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The Power of User-Generated Data and Insights in Network Performance

In the rapidly evolving landscape of mobile telecommunications, user-generated data has become essential for enhancing network performance. As mobile operators strive to deliver superior connectivity and user experiences, sophisticated app-based mechanisms for data collection are transforming how networks are monitored and optimized. This article explores how crowdsourced data from end-user devices is reshaping the industry, offering unparalleled insights that drive service quality improvements, with a particular focus on hybrid measurement methodologies like that employed by Netradar.

The Evolution of Data Collection Mechanisms

Traditional network performance monitoring relied on infrastructure-based metrics and periodic surveys, which often included drive-testing. Drive-testing involved engineers driving around with specialized equipment to measure network performance in different locations. Private Crowdsourced data has revolutionized this approach. Mobile operators now embed advanced data collection mechanisms directly into their apps, enabling passive, continuous data gathering from user devices. These systems ensure ethical and transparent data collection, allowing users to contribute to network optimization without active participation. This passive collection happens automatically in the background as users simply use their phones. In contrast, active participation requires users to intentionally perform an action, such as running a speed test app to measure their download and upload speeds or providing manual feedback about network issues they’ve experienced. By eliminating the need for such active involvement, passive data collection provides a more comprehensive and realistic view of network performance under real-world conditions.

Passive Data Collection and Its Benefits

Passive data collection provides a wealth of information without requiring user interaction. This method allows operators to:

  • Monitor Network Performance Continuously: Gather consistent data on network performance metrics like signal strength, latency, and throughput across diverse locations and conditions.
  • Analyze User Experience Holistically: Understand how the network performs under typical usage scenarios, providing a comprehensive view of the user experience.
  • Identify Trends and Patterns: Detect long-term trends and recurring issues, enabling strategic planning and targeted improvements.

Enhancing Service Quality with Granular Insights

The granularity of crowdsourced data offers a detailed, user-centric view of network performance. Operators can analyze:

  • Geographic Variations: Understanding performance differences across regions helps in targeted infrastructure investments.
  • Device-Specific Issues: Identifying problems specific to certain device types or operating systems.
  • Time-Based Patterns: Recognizing peak usage times and potential congestion periods.

The Power of Hybrid Measurement: A 24/7 View of User Experience

While passive data collection is valuable, methodologies like Netradar’s “hybrid measurement” take it a step further by providing a true 24/7 analysis of user experience across diverse contexts. This approach captures the full spectrum of a user’s daily network interactions:

Imagine a user’s day: breakfast at home checking social media (WiFi), commuting with videoconferencing (cellular), using office WiFi on mobile and laptop, visiting a customer with mobile tethering for a live demo, taking kids to football practice (cellular), and finally relaxing at home with streaming video (WiFi).

Netradar’s hybrid measurement methodology continuously collects user experience data on both cellular and WiFi networks throughout this entire day. This comprehensive approach enables:

  • Holistic Contextual Understanding: Analyze network performance within the context of specific user activities and locations.
  • Seamless Transition Monitoring: Track performance as users switch within cellular and between cellular and WiFi networks, identifying potential handover issues.
  • Comprehensive Problem Identification: Pinpoint issues across various network types and usage scenarios, leading to more effective root-cause analysis.

Leveraging Data for Proactive Network Management

With the wealth of insights provided by private crowdsourced and hybrid measurement data, mobile operators can shift from reactive to proactive network management. Predictive analytics, powered by AI and machine learning, use this data to foresee potential issues before they impact users. This proactive approach minimizes downtime, enhances reliability, and ensures a consistently high-quality user experience.

The Role of AI and Machine Learning

AI and machine learning play a pivotal role in analyzing vast amounts of data. These technologies:

  • Detect Anomalies: Automatically flag unusual patterns that may indicate underlying issues.
  • Predict Trends: Forecast future network demands and performance trends, allowing for better resource allocation.
  • Optimize Performance: Continuously refine network parameters to align with real-time user needs and expectations.
  • User Journey Insights & Troubleshooting: Optimize CX with actionable user-level insights.

User Engagement and Trust

For private crowdsourced data to be effective, operators must prioritize user engagement and trust. Clear communication about data usage, robust privacy protections, and tangible benefits for users are essential. When users understand that their data contributes to improved network performance and personalized experiences, they are more likely to participate passively.

Conclusion

Private crowdsourced data, especially when combined with hybrid measurement methodologies like Netradar’s, is revolutionizing how mobile operators approach network performance monitoring and troubleshooting. By harnessing passive data from user devices and capturing the full context of user experiences, operators can deliver more reliable, efficient, and personalized services. This shift not only enhances service quality but also fosters a collaborative relationship between operators and users, paving the way for a more connected and user-centric future in mobile telecommunications.

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Netradar and Iquall Networks Announce Strategic Collaboration to Elevate Network Performance and Customer Satisfaction

October 9, 2024  – Netradar, a global leader in network performance analytics, and Iquall Networks, a pioneer in network automation, are excited to announce a strategic collaboration. This partnership integrates Netradar’s advanced analytics with Iquall Networks’ cutting-edge MAT Suite, setting a new standard for network optimization and automation for Communication Service Providers (CSPs) and enterprises worldwide.

The collaboration leverages Netradar’s comprehensive suite of solutions—Netradar Analytics, Netradar Experience, and Netradar Care—integrating them with Iquall’s MAT Suite to deliver enhanced visibility, efficiency, and automation across RAN, Transmission, and Core networks. A key advantage of this integration is its immediate impact on Dark Ops, where the MAT Suite gains the capability to receive real-time triggers from Netradar’s suite of solutions. Leveraging these triggers, the MAT Suite executes closed-loop automation at both the network and service levels, enabling continuous, real-time adjustments and proactive responses without human intervention. This enhances the overall efficiency and responsiveness of Dark Ops operations, ensuring seamless performance and minimal disruption.

Moreover, this integration significantly simplifies Netradar’s ability to consume network metrics and configurations in any environment where the MAT Suite is deployed. This streamlined access to network data allows operators to rapidly collect and analyze critical insights, further enhancing network performance and facilitating informed decision-making. By directly tapping into the metrics and configurations of deployed networks, Netradar ensures a smooth and efficient process for continuous optimization and network reliability, enabling operators to address challenges and opportunities with greater agility.

By integrating Netradar’s monitoring capabilities with Iquall’s automation technology, network operators will benefit from automated, data-driven decisions that streamline network operations, reduce downtime, and enhance user satisfaction.

Tomi Paatsila, CEO of Netradar, “At Netradar we believe that every connection matters, and our mission is to empower network operators with the insights needed to deliver the best customer experience in near real time. With our AI-powered solutions, we are transforming how the industry approaches network performance. By giving operators full control of their data, we ensure they have the solution to exceed the ever-increasing demands of today’s hyper-connected digital landscape.

Matias Lambert, CEO of Iquall Networks, commented, “When a customer combines Netradar’s powerful analytics with our MAT Suite, we take network intelligence and automation to the next level, enabling operators to effectively manage and optimize their networks in an ever-evolving telecom landscape.”

As the collaboration progresses, Netradar and Iquall Networks will continue to introduce innovative solutions that empower network operators to achieve higher levels of performance, automation, and customer satisfaction.

About Netradar

Netradar uses AI algorithms to analyze every user connection, providing comprehensive network insights. As a global leader in network performance analytics, Netradar offers advanced solutions to optimize mobile network experiences. Leveraging cutting-edge data analytics and near real-time insights, Netradar empowers telecommunications operators to enhance network quality, coverage, and customer satisfaction. Netradar is a pioneering leader in AI-powered mobile network analytics, delivering insights that empower telecom operators, regulators, and private networks. Netradar’s AI algorithms detect and resolve network anomalies proactively, allowing operators to optimize performance, enhance service quality, and reduce customer churn. Every connection matter, making Netradar the trusted partner for delivering unparalleled network excellence.

About Iquall Networks

Iquall Networks is a telecom-oriented software company specializing in Network Automation. Since 2008, we have consistently provided innovative telecommunications services and software platforms that enhance the operations and efficiency of communication service providers (CSPs).

Our solutions address key challenges faced by CSPs, such as challenges in fulfilling SLAs, which can lead to customer experience issues, delays in launching new services, and the complexity and slow pace of innovation. By automating critical processes, we help service providers reduce operational inefficiencies, mitigate technical debt, and improve governance across network automation.

With over 100 integrations and more than 500 automation use cases, we are enabling DevOps practices to drive operational efficiency and technological innovation in Tier 1 and Tier 2 CSPs.

More information about Iquall Networks​

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Netradar at TMFORUM’s DTW Ignite: A Step Towards Sustainable Innovation

Last week, Netradar had the opportunity to participate in TMFORUM’s DTW Ignite event, a pivotal gathering for industry stakeholders. Our involvement in the “AI Smart Capex for Green and Efficient Network Investments” catalyst project highlighted our commitment to innovation and sustainability in network investments. We contributed on capturing user experience and network performance data from consumer devices 24/7.

Our catalyst project was scrutinized by a panel of judges from Verizon, SK Telekom, and JIO, and we were thrilled to qualify for the finals. Over the course of the event, we engaged in more than 40 meetings, each offering valuable insights into the future of network technologies.

Key Takeaways:

  1. Emphasis on Sustainable Networks: A prominent theme at the event was the industry’s commitment to sustainable practices. There is a clear consensus on the need for green network investments, emphasizing the reduction of carbon footprints through smarter capital expenditure.
  2. AI’s Integral Role: The discussions underscored AI’s pivotal role in enhancing network investments. From predictive analytics to automated resource management, AI is transforming how networks are planned and operated, making efficiency and sustainability achievable.
  3. Collaborative Innovation: The event fostered an environment of collaboration. Industry players, typically in competition, shared strategies and insights openly, recognizing that collective effort is essential for substantial progress.
  4. Validation from Industry Leaders: Being evaluated by representatives from Verizon, SK Telekom, and JIO and advancing to the finals affirmed the significance of our work. It was a clear indicator that our innovative approaches are resonating with leading industry figures.
  5. Networking and Engagement: The numerous meetings we conducted underscored the importance of building a robust network of industry contacts. Each interaction provided a foundation for future collaboration and innovation.

Participating in TMFORUM’s DTW Ignite was a significant experience for Netradar. It reinforced our commitment to driving forward sustainable and efficient network investments. The event provided a platform to validate our ideas, engage with industry leaders, and build crucial connections. As we move forward, the insights and relationships forged during this event will be instrumental in our continued innovation and growth in the industry.

For more information about Netradar and its participation in the AI-ML Smart Network CAPEX Catalyst, visit the official project page

Let’s build a connected world together where every connection matters.