Case Study

Catalyst InfraVerse 2.0 & Beyond – Phase II

CognitiveAutomation
Catalyst InfraVerse 2.0 & Beyond – Phase II

AI-driven network resilience for a world of constant crisis

When disasters, extreme weather, or conflict destroy infrastructure, this Catalyst restores connectivity autonomously, combining Agentic AI, digital twins, and hybrid satellite-terrestrial networks to sense, reason, decide, and act when it matters most. Phase II reaches Autonomous Networks Level 4, restoring emergency services first and cutting recovery from hours to minutes, all on TM Forum Open APIs.

The Challenge

As climate events, disasters, and geopolitical disruptions become more frequent, communications providers must restore critical connectivity faster while coordinating increasingly complex terrestrial and satellite networks. Traditional recovery processes rely on manual assessment and decision-making, delaying emergency response, extending service outages, and making it difficult to prioritise essential services when every minute matters.

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The Solution

Celfocus continues to drive innovation across three core dimensions:

  • Predict & Assess: an AI-powered digital twin fusing network, spatial, weather, and satellite data to anticipate impact before it happens, predicting damage, coverage gaps, and estimating societal impact in minutes, not hours.
  • Autonomous Recovery: multi-agent AI that recommends and executes the best recovery actions (traffic steering, NTN backhaul activation, Cells-on-Wheels, Drones Readiness), orchestrating hybrid terrestrial and satellite networks through closed-loop, self-healing operations under human-on-the-loop oversight.
  • Assure & Learn: continuous validation that emergency services are restored first and coverage targets met (up to 30% faster deployment, 25% lower OPEX, 20% less CO2) with real-time monitoring, recovery validation, and recursive learning.
Benefits
Project in a nutshell

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