Self-Healing Networks, 3× Faster Deployments

Predict anomalies, automate remediation, and accelerate rollout across cloud and edge.

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Autonomous Networks That Think Ahead

Modern networks are complex - multi-vendor, hybrid, and 5G-enabled. Manual management and reactive monitoring can’t keep pace. Amantya.AI’s Autonomous Network solution applies AI-driven rAPP/xAPP, NWDAF, and IBN frameworks to transform operations into proactive, self-optimizing systems.

Predictive Intelligence

Anticipates faults and congestion before they impact users.

Self-Healing Automation

Cuts downtime by 50% with autonomous fault resolution.

Closed-Loop Optimization

Continuously tunes network parameters for peak performance.

Agile Deployments

AI-driven rAPP/xAPP & NWDAF enable 3× faster rollouts.

Intent-Based Networking (IBN)

Aligns network behavior with business goals and SLAs.

Resource Efficiency

Dynamically allocates capacity, reducing waste while maintaining QoS.

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Real World Outcomes

AI That Powers Autonomous Networks

70% Faster Anomaly Detection

AI predicts faults and KPI deviations in real time

50% Less Downtime

Self-healing AI prevents outages

40% Resource Savings

Dynamic allocation reduces infra waste

3× Faster Service Deployment

rAPP/xAPP and NWDAF speed rollout

2× Higher Reliability

Closed-loop automation boosts uptime

99% SLA Compliance

IBN ensures consistent QoS

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Key Differentiators

What sets us apart is more than AI - it’s measurable intelligence, real-time control, and built-in trust.

01

Autonomous Decision-Making

Real-time, self-driving control enabled by rAPP/xAPP frameworks.

02

Predictive Intelligence at Scale

Anticipates failures and congestion before they impact users.

03

Business-Aligned Operations

IBN ensures network behavior maps directly to business intent.

04

Multi-Vendor, Multi-Layer Ready

Works seamlessly across 5G, cloud, edge, and enterprise.

05

Explainable & Trusted AI

Transparent recommendations give operators full visibility.

06

Continuous Compliance & Security

Automated SLA monitoring and regulatory alignment.

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Solution Highlights

rAPP/xAPP Frameworks

Modular AI apps that drive predictive analytics and real-time control.

NWDAF Analytics

Real-time KPI monitoring, anomaly detection, and congestion prediction.

Closed-Loop Automation

Feedback loops that self-optimize performance and minimize downtime.

Resource & Cost Optimization

Intelligent scaling cuts infra waste by up to 40%.

Proactive SLA Management

AI-driven monitoring ensures performance and QoS commitments.

Seamless Scaling

Expands effortlessly to support growing network demands.

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