Powering the GenAI Future with Smarter Energy
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Transformer (GPT) and GenAI Backbone. Ex: Power Demand, Renewable Generation, Market Prices. 3x-15x better forecast vs. benchmark.
Cloud Forecasting
Smarter Forecasts - Better Decisions
Example : Accurate forecasting of highly fluctuating AI training and inference workloads in data centers

Datacenter power surge/drops solutions, Multi-objective Optimization, Dashboard Visualizations, Graph Analytics for Fault Detection. Mission-critical, Grid Flexibility, Reduced Downtime.
Cloud EMS
Taming Power Surges, Preventing Drops
Boost operational efficiency with multi-objective optimization for mission-critical loads.

Battery Real Time Optimization, Capacity Estimation, Weak Module Detection.
Edge AI BMS
Smarter Energy: Resiliency, Demand Response, and Peak Efficiency in One Platform.
All-in-One Operational Intelligence with our Edge-AI
Relyion’s GenAI and ML powered forecasting solutions unlocks value of power production and utilization assets for grid operators, energy asset owners and end users.
Our solutions span the full energy spectrum—from traditional power to renewables like solar, wind, and battery storage—offering a flexible, intelligent, and scalable platform that optimizes performance.
We have built solutions across the energy ecosystem, including AI forecasting, Energy Management Systems (EMS), and edge AI devices.
Relyion EMS Features
Datacenter Power Management
Demand Response
Peak Shaving
Solar and Battery Integration
Microgrid
Backup Power and Resiliency

Relyion BMS Features
BESS Response Optimization
Software Based
Battery Agnostic
Enables Mission-Critical Operations
Case Studies
Forecasting
Energy Management System (EMS)
Energy Intelligence in Action

Turn data into performance with our solar and battery dashboard
Experience a smarter way to manage solar and battery systems. Our intuitive dashboard provides real-time monitoring, dynamic visualizations, and deep insights into energy generation, efficiency, and weather impact—helping you boost performance, reduce costs, and improve reliability.