Network Automation and Optimization Products

Our Portfolio

Designed to help MNOs automate and orchestrate their heterogenous network with a single multi-vendor, multi technology solution. This AI/ML-enabled portfolio aims to improve operational efficiency and business profitability.

Augmented Network Automation Platform

Augmented Network Automation (ANA) Platform is a next generation mobile network management micro-services platform that enables MNOs to simplify network management with a closed-loop network automation environment. This containerized and modular platform leverages AI/ML and analytics across multiple layers to automate the networks, provide deep analytics delivering cost saving and operational efficiency while maintaining the quality of experience.

Improvement of Total Cost of Ownership (TCO) with an optional subscription-based hosted cloud deployment
O-RAN ready platform built to support the evolution from SON to C-RIC and from C-RIC to Service Management Orchestration (SMO/ ORAN)
Ready to deploy a rich portfolio of field-proven applications for 3G/4G/5G networks

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RAN Data Collector

RAN Data Connector is an AI/ML powered cloud-native, vendor-agnostic micro-service application suite specifically designed for MNOs to virtually collect data from various network elements and deliver actionable insights.

Subscriber experience observability – It tackles coverage disparity between lower and higher frequency bands, avoiding over utilization of coverage layers and underutilization of capacity layers
KPI monitoring and reports – This application runs deep analytics and generate reports to ensure SLA adherence and exceptional quality of experience

Intelligent Quality of Experience

Intelligent Quality of Experience is self-learning AI- based software that enables MNOs to optimize cell clusters basis traffic patterns. This vendor agnostic software can help significantly improve throughput of cell sites and relieve network congestion.

Uses AI/ML to predict potential service degradation and identifies eligible cell pair
Automates network management and enables efficient network planning
Enhances system synergies and better utilization of resources

Intelligent Dynamic Energy Savings for 4G/5G

Intelligent Dynamic Energy Savings (IDES) is an AI/ML-powered solution that optimizes RAN energy consumption enabling MNOs to save operating costs and meet ESG goals by building sustainable networks. It analyzes a range of data sources including network statistics, real-time traffic data, call trace records and more. This product is vendor-agnostic seamlessly accommodating network evolution across 4G, 5G and ORAN technologies with its multi-layer awareness.

AI/ML enabled solution supports both traditional and ORAN networks
Proven technology saving millions for large telecom operators across the globe
RAN automation to deliver energy efficiency

AI-Based Cluster Congestion Relief

AI Based Cluster Congestion Relief is self-learning AI based software that enables MNOs to optimize cell clusters basis traffic patterns. This vendor agnostic software can help significantly improve throughput of cell sites and relieve network congestion.

AI/ML algorithms for predictive congestion relief across a cluster
Supports 4G and 5G networks using patented technology
Flexible and fast deployment

Virtual Drive Test

Virtual Drive Test (VDT) is environment friendly 3GPP (3rd Generation Partnership Project) based solution to measure the user experience and radio network KPIs. It utilizes GPS-based user experience and RAN location data, dashboards with georeferenced plots for both stationary and mobility scenarios generating data driven analytics and insights.

Provides access to all network and users performance information as obtained from any traditional drive tests with greater efficiency
Faster new site rollouts and reduced manual drive tests resulting in CAPEX and OPEX savings
Increased operational efficiency by faster customer complaints resolution

Mass Event Handling

Mass Event Handling (MEH) enables CSPs to maintain customer quality of experience and optimize throughput during large scale events. This AI/ML based product is capable to learn, predict and implement network changes in a closed-loop maintaining the network KPIs and hence customer satisfaction:

Inter carrier load balancing (4G) to dynamically optimize the inter-frequency load in idle mode
Dynamic load balancing (4G) to dynamically manage the intra-frequency load balancing in twin-beam
Dynamic parameter audit and enforcement(4G) to apply specific parameters in advance
Profile based load management (4G) to dynamically configure the ‘high-load’ profile according to pre-defined load conditions

4G Network Slicing

4G Network Slicing enables automated configuration of 4G network slices with user defined attributes. It also monitors slice performance against policy-based SLAs. It enables slicing of 4G network to create secure ecosystem for premium services like IoT, surveillance and monitoring.