Unlocking Intelligent, Sustainable Energy Management

Stellar Sage™ is GreentecAI’s next-generation universal energy management platform, built to optimize energy consumption, extend asset lifespans, and streamline operations across telecom, industrial, and enterprise sectors.


Powered by advanced AI-driven analytics, cloud-native scalability, and seamless multi-vendor integration, Stellar Sage transforms traditional energy systems into intelligent, self-optimizing networks — enabling measurable efficiency, cost savings, and decarbonization.

Industry’s Current Challenges

Today’s energy landscape is more complex and demanding than ever.
Organizations across telecom, industrial, utility, and infrastructure sectors face significant challenges:

  • Fragmented Energy Management
    Disparate, multi-vendor energy systems create silos, making unified monitoring and control difficult and inefficient.

  • Rising Energy Costs
    Volatile energy markets and increasing demand charges place pressure on operational budgets and profitability.

  • Aging Infrastructure
    Legacy assets, including batteries, HVAC systems, and grid equipment, suffer from inefficient maintenance cycles and unpredictable failures.

  • Carbon Reduction and Compliance Pressures
    Global mandates and ESG commitments require organizations to accurately track, report, and reduce their carbon footprint — but traditional systems lack integrated capabilities.

  • Limited Predictive Intelligence
    Most energy management solutions react to failures after they occur, rather than predicting and preventing them through advanced analytics.

  • Need for Operational Agility
    Businesses require systems that can scale, adapt, and optimize performance dynamically across distributed infrastructures and emerging renewable sources.

Stellar Sage™ was purpose-built to address these challenges — providing a unified, intelligent, and scalable platform that transforms energy management into a strategic advantage.

Universal Energy Management Platform

The Universal Energy Management Platform (UEMP) is GreentecAI’s next-generation solution designed to centralize, optimize, and future-proof energy management across diverse infrastructures.
Built around intelligent data gathering, advanced AI analytics, and scalable cloud-native architecture, UEMP transforms traditional energy operations into efficient, resilient, and sustainable ecosystems.

UEMP seamlessly connects key energy systems — including HVAC, battery storage, and grid power — through intelligent protocol converters and unified data layers.
At its core, Stellar Sage™ orchestrates predictive energy management, asset optimization, and carbon footprint tracking across enterprise, telecom, industrial, and utility sectors.

Available as a SaaS offering or an on-premises deployment, the UEMP platform is engineered for rapid scalability, multi-vendor interoperability, and long-term operational excellence.

"Connecting Energy Assets. Empowering Smart Decisions."

Key Capabilities

  • Centralized Energy Monitoring and Management
    Unified real-time monitoring and management across diverse power systems, regardless of vendor or hardware.

  • Advanced Asset and Storage Management
    End-to-end visibility, proactive maintenance, and lifecycle optimization for batteries, HVACs, rectifiers, solar panels, and critical power assets.

  • HVAC Energy Optimization
    Data-driven control of cooling systems, reducing HVAC energy consumption by up to 25%.

  • Battery Management Intelligence
    Live tracking, predictive analytics, and smart charge-discharge strategies to extend battery life and ensure system reliability.

  • Peak Shaving and Load Management
    Smart switching between AC grid, battery, and alternative sources to minimize peak-hour energy costs by up to 15%.

  • Carbon Connect Suite
    Automated carbon footprint tracking, emissions benchmarking, and digital carbon credit management — driving decarbonization efforts with real-time accountability.

AI module flow diagram in the UEMP represents the architecture and flow of how data and decisions are managed within the platform's AI-driven system for energy management.

  • Predictive Models: These models forecast energy demand, system load, and environmental conditions. For example, the platform might predict peak energy consumption times or battery degradation trends.

  • Optimization Algorithms: Based on the predictions, the platform runs optimization algorithms to recommend the most efficient use of energy. For example, optimizing HVAC systems to minimize energy use while maintaining comfort levels or shifting loads to batteries during peak grid pricing.

  • Reinforcement Learning: In more advanced setups, reinforcement learning allows the system to "learn" optimal energy-saving actions based on past performance and adapt over time to changing conditions.

  • Anomaly Detection: The AI constantly monitors for any deviations from normal operating patterns, such as unusually high energy consumption or equipment failure, allowing for proactive management.

AI Modules in Platform

Stellar Sage Benefits