Professional
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Price: $2,999 / month
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Ideal For: Mid-sized businesses with moderate HPC usage
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Includes:
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Full EnerClock Energy Model & HPC Load Optimizer
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Up to 50 HPC Nodes
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Standard Virtual Power Plant Features (Demand Response)
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24/7 Phone & Email Support
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Enterprise
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Price: Annual Contract
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Ideal For: Large-scale data centers, advanced utility integrations
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Includes:
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Unlimited HPC Nodes & VPP Integration
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Real-Time Analytics & Automatic Trading Integration
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Dedicated Technical Account Manager
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Priority 24/7 Support with On-Site Assistance
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Custom
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Price: Project-Based
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Ideal For: Specialized or highly regulated industries (e.g., government, defense)
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Includes:
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Tailored AI Model Training
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Hybrid Cloud Implementations
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Specialized Security & Compliance Requirements
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End-to-End Implementation & PMO Support
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Pricing
Flexible Plans for Every Scale
EnerClock Energy Model
Our proprietary AI model predicts and controls real-time energy usage, proactively preventing grid overloads and minimizing waste. The system dynamically learns from live operational data, delivering continuous improvements without significant manual intervention.

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Real-time load forecasting with sub-1% error margins.

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Self-learning model for adaptive energy scheduling.

What is Virtual Power Plant?
Our platform is a next-gen VPP that aggregates and optimizes distributed energy resources—like solar, wind, and battery storage—to provide dynamic load shifting, frequency regulation, and peak shaving. This holistic approach transforms how you buy, sell, and manage energy in real time.
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Key Features:
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Aggregation of renewables, storage, and demand-side resources
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Automated market bidding for surplus energy trading
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Seamless integration with existing SCADA systems
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HPC Load Optimizer
The HPC Load Optimizer orchestrates high-performance compute tasks with intelligent scheduling and resource pooling. By analyzing compute loads and power constraints, it ensures peak efficiency while maintaining top-notch performance for AI training, big data analytics, and other HPC workloads.

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Intelligent HPC job scheduling and orchestration.

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Dynamic resource scaling to minimize idle capacity.
