Autonomous Networks L4 | Cyient at DTW Ignite 2026

Embracing Autonomous
Networks

Your Road to AN L4

June 23-25, 2026

Meeting Room BB, Bella Center, Copenhagen

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The Challenge

Networks Are Expected to Do More, With Less Complexity

Telecom networks must deliver agility, resilience, and monetization while managing rising operational complexity. Autonomous Networks enable intent-driven, closed-loop operations that reduce human intervention at every layer.

Achieving L4 maturity requires more than automation. It demands engineering depth, AI-augmented intelligence, and open architectures.

Our Approach

From Autonomous Ambition to Execution at Scale

AI-Augmented Execution

Move from pilots to production with applied intelligence and engineering depth. Real deployments, real outcomes.

Open & Interoperable

Built on Open APIs to integrate across multi-vendor ecosystems with no lock-in.

Closed-Loop Operations

Real-time detection, autonomous decisions, and self-healing resolution at network scale.

Ready to Move from Pilots to Production-Scale Autonomy?

Developed in alignment with TM Forum's Autonomous Networks Maturity Model, this Cyient guidebook maps the engineering milestones, open API frameworks, and AI-augmented use cases your teams need to move from L2 to L4 maturity with confidence.

Download our Guidebook

Capabilities
Powered by our intelligent rApps

Operationalizing Autonomous Networks with Open APIs

Purpose-built capabilities that accelerate your path to self-healing, self-optimizing network infrastructure.

Reduce MTTD and MTTR through KPI and configuration correlation
Automate lifecycle actions across multi-vendor RAN environments
Enable closed-loop remediation with minimal human intervention
Optimize energy and spectrum efficiency using AI/ML models
Scale use cases using Open APIs and modular frameworks

L4
Autonomy Maturity Target: from intent to action, end-to-end

~40%
Fewer critical alarms

~15%
Lower energy use

<15 mins
MTTR target

Our Intelligent rApps Stack

Three integrated solutions delivering end-to-end autonomous network operations, from detection to execution to optimization.

CCMS

Configuration Change
Management System

Identifies configuration changes behind network degradation. Correlates KPI anomalies with configuration drift to pinpoint root-cause changes in real time.

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DCMC

Dynamic Configuration Management & Control

Executes configuration changes safely across multi-vendor environments with intent-driven rollout, automated validation, and rollback safeguards.

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IESO

Intelligent Energy & Spectrum Optimization

Balances energy efficiency and performance using AI-augmented optimization. Continuous learning adapts to real network conditions and traffic patterns.

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Open Innovation Catalyst Project

Infraverse 2.0 and Beyond

Phase II

Empowering autonomous, sustainable, and connected infrastructure through AI-driven digital twins, TM Forum standards, and cross-industry collaboration for future networks.

Learn more