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Wednesday, June 24, 2026

HCLTech and Nokia partner to accelerate autonomous networks with AI-driven rApps innovation

HCLTech, a leading global technology company, announced an expanded partnership with Nokia, to accelerate the adoption of autonomous networks through AI-driven network automation and co-innovation of network automation RAN applications (rApps) with four new rApps hosted on Nokia’s SMO Marketplace.

As part of this collaboration, HCLTech will augment Nokia’s autonomous networks portfolio with its advanced suite of rApps, designed to enable communication service providers (CSPs) to transition toward AI-native, self-optimizing network operations. The exclusive placement on Nokia’s SMO Marketplace makes the rApps easily accessible and deployable for global operators within an open, standards-based ecosystem. The partnership also establishes a long-term co-innovation roadmap to jointly develop next generation rApps that address evolving network demands across 5G and future network architectures.

HCLTech listed following rApps on Nokia’s SMO marketplace:

  • Anomaly Detector rApp: Monitors KPIs and network signals to quickly detect and correlate anomalies across cells and users, enabling faster, data‑driven optimization and more stable network performance
  • Energy Optimizer rApp: Scales base station resources during low‑traffic periods to improve energy efficiency without compromising service quality
  • mMIMO Interference Mitigation rApp: Relieves inter-cell interference that reduces signal quality to improve cell-edge performance and increased network efficiency
  • Traffic Balancer rApp: Analyzes network conditions and redistributes traffic across available paths to minimize congestion and reduce latency

“Autonomous networks require a strong ecosystem approach built on openness, intelligence and innovation,” said Hari Sadarahalli, Corporate Vice President and Global Head, Engineering and R&D Services, HCLTech. “Our partnership with Nokia enables us to bring scalable, AI-driven rApps to the forefront, helping operators accelerate network automation, improve efficiency and confidently advance toward self-driving networks.”

To view the original press release, please click here.

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