Service Quality Prediction
Anticipate network and service issues before they impact customers, enabling proactive actions that protect experience and SLA performance.
From data to decisions: apply AI/ML to transform telecom operations and drive smarter, faster outcomes.
At Polystar, we apply AI and ML to transform assurance into a predictive, intelligent, and automated capability. This helps our customers reduce costs, resolve issues faster, and enhance customer experience. At the same time, it enables new revenue streams, supports innovation, and converts complex network data into actionable insights that drive business growth.
Anticipate network and service issues before they impact customers, enabling proactive actions that protect experience and SLA performance.
Continuously detect anomalies in real time, allowing operators to identify and resolve issues early - before they escalate into service disruptions.
Leverage AI to quickly pinpoint the underlying cause of complex issues, reducing troubleshooting time and accelerating resolution.
Automatically distill complex incidents into clear, actionable summaries, helping teams understand, prioritize, and respond faster.
Our AI/ML-powered Unified Assurance product suite is redefining telecom operations by unifying intelligence, automation, and assurance into a cohesive solution, enabling autonomous network operations. At Polystar, we have natively built AI and automation into network operations, combining product-embedded and centralized AI/ML capabilities and ready-to-deploy use cases, with open integration of third-party technologies. Built on a strong data foundation, this approach turns insights into actions - and actions into measurable outcomes - delivering scalable, AI-powered operations that drive efficiency, service quality, and competitive advantage.
Our AI/ML-powered Unified Assurance product suite is redefining telecom operations by unifying intelligence, automation, and assurance into a cohesive solution, enabling autonomous network operations. At Polystar, we have natively built AI and automation into network operations, combining product-embedded and centralized AI/ML capabilities and ready-to-deploy use cases, with open integration of third-party technologies. Built on a strong data foundation, this approach turns insights into actions - and actions into measurable outcomes - delivering scalable, AI-powered operations that drive efficiency, service quality, and competitive advantage.
Read the Press Release"Our direction is clear. By unifying key analytics systems onto a single platform, we are creating a strong foundation for insight-driven decision-making across both fixed and mobile networks. This approach allows us to support the specific needs of our operating companies while scaling advanced analytics and AI use cases in a structured and consistent way. Our collaboration with Polystar of Elisa Industriq reflects a shared focus on performance, operational excellence, and delivering better outcomes for our customers.”
Read the Press ReleaseMasOrange has selected Polystart o deliver a unified analytics and network probe solution across its newly combined mobile network.
A key differentiator was the new AI Anomaly Detection module in Kalix Analytics. With real network data demos, it identified affected users during service disruptions and enabled coordinated, targeted response actions. Compared to manual processes, the AI-driven approach improves speed, accuracy, and the ability to act proactively to protect CX.
Learn more“Data, analytics, and artificial intelligence are central to our digital transformation. As we digitize and automate our operations, we extend our partnership with Polystar to run our IT and networks even more efficiently. We leverage real-time and vast amounts of data from all relevant sources to improve detection, resolution, and prevention of incidents, ultimately to further improve service quality for our customers.”
Read the Press Release"Providing the best possible service experience, built on the most advanced technology, is a top priority for 4iG Group’s telecommunications companies in Hungary and the Western Balkans, for both residential and business customers. Our cooperation with Polystar marks a milestone, raising the quality of our networks and further strengthening our customer-focused operations. We are confident that implementing the new system will create a more stable, transparent, and future-proof network for our Hungarian subsidiary, One Hungary”
Modernize your data foundation to power real-time AI and automation
Our solution streamlines data movement and Kalix DataOps processes to efficiently extract, transform, and load your data into high-performance pipelines - enabling cross-domain analytics, automation, and AI at scale.
Predict Network Behavior with Data-Driven Accuracy
AI/ML application of Kalix Analytics models analyze historical and real-time data to forecast demand and capacity needs, enabling proactive optimization, reduced risk, and efficient resource allocation across the network.
Detect Coverage Issues with ML-Based Geolocation
Our RAN monitoring solution, enabled by Kalix Analytics and Osix Monitoring, visualizes radio performance data on interactive maps, providing a clear geographic view - so you can quickly identify coverage gaps, analyze performance, and pinpoint root causes.
Turn Every Anomaly into Actionable Insight
Our AI/ML application of Kalix Anaytics continuously learns expected performance patterns and flags meaningful deviations - helping you detect potential service disruptions earlier, reduce false alarms, and protect customer experience.
Ready to go deeper? Explore our AI resource center for telecom - featuring videos, blogs, webinars, and expert insights from industry analysts.
Discover why AI enhances, not replaces, developers, boosting productivity while relying on human creativity, direction, and technical expertise.
STL Partner's Managing Director of Research, Amy Cameron, on where AI in telecoms stands today: cost savings, revenue growth and trusted, well-governed AI.
How will Agentic AI play a role in telco operations – and what can it offer for Service Assurance? Read the article about how AI is reshaping telecom:
Discover how forecasting critical network KPIs in advance helps operators plan capacity, prevent congestion, and maintain consistent service quality.
Multi-phase deployment brings advanced analytics for mobile and fixed broadband networks, building the foundation for DataOps-driven AI insights and new use cases across group operating companies.
Learn how AI and machine learning boost telecom operations - starting with AI-powered anomaly detection that spots and resolves issues faster.
Watch the interview with our CPO, Thomas Nilsson, and discover how AI-driven network assurance enables proactive operations, automation, and better CX.
Explore how AI and ML drive value in telecom operations. Insights delivered by our Head of CX Assurance, Emil Radonchikj. Watch the videos here
Watch our on-demand session to explore Agentic RAG in telecom, featuring insights from our Head of AI Solutions and team. Access it here.
Watch this on-demand session to explore time series forecasting for telecom capacity planning. Access the webinar here
Watch this live session on-demand, and explore how telecom can transition from GenAI adoption to true business transformation. Access webinar here
The telecom industry is shifting fast, with AI at its core. Watch Polystar’s CTO, Gerhard Wieser, as he shares insights about the future of ML/AI in telco
AI-driven assurance in telecom uses machine learning and advanced analytics to monitor network performance, predict issues, and automate operations. By transforming raw network data into actionable insights, it enables operators to move from reactive troubleshooting to proactive, predictive network management - improving service quality, efficiency, and customer experience.
AI improves telecom performance by continuously analyzing network data to detect anomalies, predict service issues, and optimize resource allocation. This allows operators to resolve problems before they impact customers, reduce downtime, and maintain consistent service quality across both mobile and fixed networks.
Key AI use cases in telecom include anomaly detection, service quality prediction, RAN monitoring, root cause analysis, and network capacity forecasting. These capabilities help operators identify issues earlier, automate troubleshooting, and make data-driven decisions that enhance performance and operational efficiency.
Data readiness is essential for AI success in telecom, as accurate and real-time insights depend on high-quality, well-structured data. Modern data platforms and Kalix DataOps processes ensure efficient data collection, transformation, and integration - enabling scalable analytics, automation, and AI-driven decision-making across network domains.
Operators turn AI insights into business value by embedding AI into daily operations -enabling proactive issue resolution, automated workflows, and smarter planning. This reduces operational costs, improves customer experience, and supports new revenue opportunities through more reliable and efficient network services.
See how Polystar can help you apply AI to improve network performance, automate operations, and enhance customer experience.