Network Efficiency CoPilot: Unlock Hidden Network Capacity

Discover hidden capacity, spectral inefficiencies, and monetization opportunities with AI-powered geospatial Digital Twin. Extract up to 15% more capacity without additional hardware investment.

Network Efficiency CoPilot: AI-powered optimization dashboard with capacity analytics

Network Efficiency Copilot Benefits

Discover Hidden Capacity

Identify and unlock saturated network resources without additional hardware investments

Prevent Congestion Proactively

Predict and address capacity bottlenecks before they impact customer experience.

Identify new revenue opportunities

Locate areas with excess capacity that can be leveraged for new services or customer segments.

Focus on highest-value optimizations

Automatically rank optimization initiatives based on business impact and implementation effort.

Trusted By Industry Leaders

Tech MahindraIntelTMForum

Deployed in Tech Mahindra Innovation Lab

Included in TMForum DT4DI Top Use Cases Catalog

AI-Driven Network Optimization & Efficiency

Network Efficiency CoPilot harnesses our AI-powered Digital Twin to enable automated network optimization and efficiency improvement. By analyzing network performance data, traffic patterns, and subscriber behavior through advanced geospatial modeling, it automatically identifies underutilized resources, spectral inefficiencies, and load balancing opportunities. It generates precise optimization recommendations, prioritized implementation roadmaps, and revenue potential maps — all with 10x10m geospatial accuracy.

The entire solution can be navigated via an intuitive AI chat interface, allowing engineering teams and operational leaders to pinpoint efficiency bottlenecks, simulate optimization scenarios, and visualize business impacts through simple conversations — dramatically streamlining decision-making processes across technical and business domains.

Network Efficiency Copilot Features

Network Efficiency Geospatial Digital Twin Creation: High-fidelity virtual replica of your network with all its complex dependencies.

Geospatial Digital Twin Creation

High-fidelity virtual replica of your network with all its complex dependencies.

Network Efficiency Bottlenecks Prediction: Predict Future QoE Degradation and Capacity Bottlenecks with geospatial accuracy

Bottlenecks Prediction

Predict Future QoE Degradation and Capacity Bottlenecks with geospatial accuracy

Network Efficiency Network Efficiency Analysis: The solution scans your entire network to identify inefficiencies, underutilized resources, and optimization opportunities.

Network Efficiency Analysis

The solution scans your entire network to identify inefficiencies, underutilized resources, and optimization opportunities.

Network Efficiency Optimization Scenarios Simulation: Test multiple optimization strategies and configurations in the Digital Twin environment

Optimization Scenarios Simulation

Test multiple optimization strategies and configurations in the Digital Twin environment

Network Efficiency Business Impact Assessment: Quantify the business value of each optimization in terms of capacity gain, QoE improvement, and revenue impact.

Business Impact Assessment

Quantify the business value of each optimization in terms of capacity gain, QoE improvement, and revenue impact.

Network Efficiency AI Assistant Module: Streamline interaction with Digital Twin by asking AI Agent to complete complex tasks

AI Assistant Module

Streamline interaction with Digital Twin by asking AI Agent to complete complex tasks

See It In Action

iPrism AI Powered Digital Twin: Agentic Network Planning Demo (MWC 2026)

AI Powered Digital Twin Case Study: Entire Network Evolution Strategy Delivered in 50 seconds!

Automated RAN Network Planning in 5 steps

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Smart CapEx CoPilot: AI-powered future QoE prediction map

Smart CapEx CoPilot

Maximize the ROI of your network investments with AI-driven planning and geospatial intelligence. Craft your network evolution strategy in minutes VS weeks.

  • 80% reduction in planning effort and time
  • Future QoE degradation areas prediction
  • Automated geospatial deployment planning
  • Up to 18% improvement in CAPEX efficiency
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Root Cause Analysis CoPilot: AI-powered troubleshooting — Coming Soon
Coming Soon

Root Cause Analysis CoPilot

Detect network issues, discover root causes, and simulate fixes within the Digital Twin environment — all with minimal human intervention.

  • End-to-end process automation
  • 70% faster issue resolution
  • AI-driven root cause analysis
  • Knowledge capture and preservation

See How AI-Powered Digital Twin Transforms Your Network

Our AI-Powered Digital Twin technology helps you optimize investments, maximize network efficiency, and automate operations — all while improving ROI.