AI-Powered Energy Optimization
Transform your industrial operations with our comprehensive energy management platform. Reduce operational costs by 25-40% through AI-driven load balancing, real-time analytics, and predictive optimization.
Discover the powerful capabilities that make our solution stand out
Connects sensors, meters, and devices using various protocols for real-time monitoring.
Intelligently distributes power among high-demand systems to optimize usage.
Live dashboards with granular energy consumption insights.
Uses machine learning to detect equipment issues before failures and forecast future load patterns.
Provides custom threshold settings with instant notifications.
Manages operations across local facilities to global networks.
Monitors CO₂ output and generates sustainability reports.
Seamless connectivity with existing industrial systems.
Millisecond-level sensor data collection and visualization
Local data processing for low-latency decision making
AI-driven equipment failure prediction algorithms
Seamless connectivity with existing systems and databases
Comprehensive energy monitoring and management system for industrial and commercial facilities.
Specification | Basic | Professional | Enterprise |
---|---|---|---|
Data Collection Rate | 15-minute intervals | 5-minute intervals | Real-time (1-second intervals) |
Monitoring Points | Up to 50 points | Up to 500 points | Unlimited monitoring points |
Energy Sources | Electricity | Electricity, Gas, Water | All utilities + Renewables |
Visualization | Basic dashboards | Interactive dashboards | Custom dashboards & 3D visualization |
Alerting | Email alerts | Email, SMS, in-app alerts | Multi-channel with escalation workflows |
Historical Analysis | 3 months | 1 year | Unlimited with archiving options |
User Access | 5 users | 20 users | Unlimited with role-based access |
Support | Email support | Email & phone support | 24/7 dedicated support |
Comprehensive IoT device management system for industrial and commercial applications.
Specification | Basic | Professional | Enterprise |
---|---|---|---|
Device Capacity | Up to 100 devices | Up to 1,000 devices | Unlimited devices |
Data Collection Rate | 1-minute intervals | 10-second intervals | Millisecond-level |
Protocol Support | MQTT, HTTP | MQTT, HTTP, CoAP, Modbus | All standard + proprietary |
Edge Computing | Basic rules | Advanced edge processing | Full edge AI capabilities |
Device Management | Basic monitoring | Remote configuration | Full lifecycle management |
Connectivity | Wi-Fi, Ethernet | Wi-Fi, Ethernet, Cellular | All standard + LoRaWAN, Zigbee |
Data Storage | 30 days | 1 year | Unlimited with tiered storage |
Support | Email support | Email & phone support | 24/7 dedicated support |
Real-world applications and measurable outcomes
Implementation of AI-driven load balancing system for high-energy consumption equipment
Outcome
Reduced energy costs by 35% and peak demand charges by 40%
Real-time power usage optimization and cooling system management
Outcome
Improved PUE by 25% and achieved 99.99% uptime
Monitor inverters and panels in real time for higher yields through targeted maintenance
Outcome
Increased energy yield by 15% and reduced maintenance costs by 20%
Shift usage away from peak billing times and integrate EV chargers for consumption analytics
Outcome
Lowered peak energy charges by 18% while boosting customer EV services
Balance energy generation and storage at the micro level, maximizing returns from renewables
Outcome
Achieved 25% better utilization of onsite solar and storage assets
Implementation of predictive maintenance system for production line equipment
Outcome
Reduced unplanned downtime by 45% and maintenance costs by 30%
Real-time monitoring and optimization of power generation equipment
Outcome
Improved operational efficiency by 25% and prevented 15 major failures
Find answers to common questions about our solution
Visualize your energy consumption compared to baseline and track savings over time
Transform your energy management with measurable results
Optimizes load distribution to achieve up to 30% cost savings.
Early issue detection minimizes unplanned downtime.
A modular design adapts to new devices or renewable assets.
Transparent carbon data demonstrates progress on sustainability targets.
Continuous monitoring provides immediate visibility into energy consumption.
AI-driven alerts help reduce unexpected failures and optimize maintenance.