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Polystar introduces four AI capabilities for Kalix at MWC 2026

Source Decision Insights Record Published February 26, 2026 Companies 2
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2 companies named across 9 categories, the first article referencing Polystar.

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Polystar, part of Elisa Industriq, said it would introduce four AI-driven capabilities at Mobile World Congress 2026 to address how telecom operators manage network complexity and service quality.

The company said the package of features addressed operators' growing operational challenges, including handling increasingly complex networks, maintaining service quality at scale, and enabling faster, more data-driven decision-making across mobile and fixed domains.

Polystar outlined four additions to Kalix: an agentic Artificial Intelligence (AI) framework with telecom-trained agents on a governed data fabric for insights, collaborative Root Cause Analysis (RCA) and automation; AI-based anomaly detection using Machine Learning (ML) models with an integrated knowledge base and Large Language Model (LLM) tools; a forecasting capacity tool combining ingested and probe data to produce ML-based network-wide capacity and traffic forecasts; and end-to-end analytics for Fixed Broadband and Fixed-Wireless Access (FWA) that correlated Customer Premises Equipment (CPE), access and core data to unify customer experience.

All enhancements were integrated into Polystar's Kalix assurance platform, and the company said the four capabilities would be demonstrated on its stand at Mobile World Congress 2026 (Hall 5, Stand 5F35).

“Operators are under pressure to extract more value from their data - and to do so with confidence. These capabilities bring together AI, automation, and deep telecom expertise in a way that is practical for live networks,” said Thomas Nilsson, Chief Product Officer, Polystar, Elisa Industriq.

Polystar said more information about the solutions was available and that interview requests could be directed to Elisa Industriq Mediadesk.

Press release, provided by Cision on behalf of Polystar. Read the original.

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