The AI-powered, real-time data platform for telecom tower companies and MNOs

Use RAIN to achieve high operational intelligence on your tower network and deploy AI-driven use-cases through a single platform.

Utilise real-time analytics and actionable insights to optimise your operations

Realise major cost savings via automated processes and reporting

Monitor your entire operation with a customisable dashboard

Real-time AI analytics and automation for smarter decisions and cost savings

RAIN’s visual interface gives you real-time, continuous and actionable data-driven insights for smarter and proactive decision making. Say goodbye to data silos.

Single data platform and interface for real-time analytics
  • Customisable dashboard view of the entire network
  • “Zoom-in / zoom-out” for each site
  • Real-time analytics and insights for timely action

    AI-driven energy management, with optimised power supply and energy storage, and AI/ML based demand prediction

    • Reduce electricity costs via peak shaving
    • Maximise use of renewable energy
    • Decrease energy consumption and waste

    AI-based data analytics to identify inefficiencies in AC vs. DC power conversion, with real-time data monitoring of the rectifier

    • Enhance energy usage with a higher efficiency rectifier
    • Provide accurate real-time data on energy consumption to tenants
    • Replace manual processes with automated reporting and billing

    AI-powered incident diagnosis and smart alarm management for efficient service

    AI/ML algorithms used to analyze all operational data and identify the root cause of an incident. Automated reporting with diagnosis on the issue generated for field service team.

    • Identify problems remotely and avoid unnecessary site visits
    • Enhance efficiency of service visits
    • Reduce maintenance costs

    Advanced alarm management using predictive analytics and ML techniques are used to leverage historical data, real-time sensor readings, and advanced algorithms to identify patterns, anomalies, and potential alarm triggers. ML algorithms can continuously adapt and optimize alarm limits.

    • Eliminate false or duplicate alarms and improve the accuracy of alarm notifications
    • Categorize alarms based on their priority, severity, and relevance
    • Present alarms clearly and intuitively through a single visual interface

    AI-driven HVAC optimization: reduce energy use, detect anomalies, and extend equipment life

    AI-driven algorithms continuously analyse data from various sensors and adapt HVAC system operation to real-time conditions

    • Reduce energy consumption via optimised running time
    • Realise significant energy cost savingsEliminate false or duplicate alarms and improve the accuracy of alarm notifications

    Anomaly detection via holistic IoT based monitoring (e.g. sound, vibration, air quality, temperature, energy consumption) and machine learning algorithms

    • Replace mission-critical parts (e.g. filter) before equipment overheating or failure
    • Optimise maintenance schedule and asset lifetime

    Single data platform and interface for real-time analytics
    • Customisable dashboard view of the entire network
    • “Zoom-in / zoom-out” for each site
    • Real-time analytics and insights for timely action

    AI-driven energy management, with optimised power supply and energy storage, and AI/ML based demand prediction

    • Reduce electricity costs via peak shaving
    • Maximise use of renewable energy
    • Decrease energy consumption and waste

    AI-based data analytics to identify inefficiencies in AC vs. DC power conversion, with real-time data monitoring of the rectifier

    • Enhance energy usage with a higher efficiency rectifier
    • Provide accurate real-time data on energy consumption to tenants
    • Replace manual processes with automated reporting and billing

    AI-powered incident diagnosis and smart alarm management for efficient service

    AI/ML algorithms used to analyze all operational data and identify the root cause of an incident. Automated reporting with diagnosis on the issue generated for field service team.

    • Identify problems remotely and avoid unnecessary site visits
    • Enhance efficiency of service visits
    • Reduce maintenance costs

    Advanced alarm management using predictive analytics and ML techniques are used to leverage historical data, real-time sensor readings, and advanced algorithms to identify patterns, anomalies, and potential alarm triggers. ML algorithms can continuously adapt and optimize alarm limits.

    • Eliminate false or duplicate alarms and improve the accuracy of alarm notifications
    • Categorize alarms based on their priority, severity, and relevance
    • Present alarms clearly and intuitively through a single visual interface

    AI-driven HVAC optimization: reduce energy use, detect anomalies, and extend equipment life

    AI-driven algorithms continuously analyse data from various sensors and adapt HVAC system operation to real-time conditions

    • Reduce energy consumption via optimised running time
    • Realise significant energy cost savingsEliminate false or duplicate alarms and improve the accuracy of alarm notifications

    Anomaly detection via holistic IoT based monitoring (e.g. sound, vibration, air quality, temperature, energy consumption) and machine learning algorithms

    • Replace mission-critical parts (e.g. filter) before equipment overheating or failure
    • Optimise maintenance schedule and asset lifetime

    How RAIN helps mobile operators and mobile tower companies

    AI at the core

    Redefine operational management, deliver unmatched efficiency and reliability.

    Improve decision making

    No more manual data collection. Make informed decisions with timely information.

    Save costs

    Reduce operational costs by identifying and addressing energy inefficiencies.

    Scalable solution

    A scalable, customizable solution allowing you to start small and grow with your tower network.

    Seamless integrations

    Enhance operational efficiency across your entire telecom infrastructure.

    Want a tour of RAIN?

    Book a demo with an expert today.

    Ready to see RAIN in action?

    Chat face-to-face with a RAIN specialist and see why telco tower companies trust us to embed AI throughout tower operations processes, including predictive maintenance, automated fault detection and real-time optimization.

    Free consultation, zero commitment

    A short 15-minute call to get to know each other

    Followed by a tailored demo with a product expert

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