Overview

Our Impact

Automation

Case Study

Moving Forward
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How NSP Creates Energy by Saving Energy

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Intelligent Buildings

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Sustainable Future

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Autonomous Operations

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Our Impact

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Energy Cost Reduction (20–35%)
Optimizes energy consumption to cut operational energy costs by up to 35%.
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30% Productivity Improvement
Enhances operational efficiency and workforce output by up to 30% through intelligent automation.
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40% Carbon Emission Reduction
Drives sustainability by reducing carbon emissions by up to 40% across operations.
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Predictive Fault Detection (Avoid Shutdowns)
Identifies potential failures in advance to prevent unplanned downtime and shutdowns.
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50% Maintenance Cost Reduction
Lowers maintenance expenses by up to 50% through predictive and condition-based maintenance.
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Automated Diagnostics & Remediation
Enables real-time automated fault diagnosis and corrective actions without manual intervention.
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Earns Scope 3 Water Credits
Supports sustainability goals by enabling traceable water savings and Scope 3 water credits.

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Air Quality Indicator
Continuously monitors and reports air quality to ensure healthier and compliant environments.

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Automation with Advanced Technology Stacks

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Pioneering LLM-Powered Building Automation with Advanced Technology Stacks-Measure What Matters: Advanced AI KPIs Driving Autonomous, Sustainable Buildings

  • Autonomy & Intelligence
  • Data & Digital Twin
  • Control & Operational Efficiency
  • User Interaction & Explainability
  • Sustainability & Compliance
  • Autonomous Decision Rate: % of building actions executed by AI without human intervention
  • AI Prediction Accuracy: Forecasting energy, occupancy, and comfort with high precision
  • Fault Detection Accuracy: Detects anomalies early, minimizing downtime
  • Time to Detect Faults: Average lead time from occurrence to AI detection
  • Sensor Coverage: % of building assets actively monitored by AI sensors
  • Data Quality Index: Accuracy, completeness, and timeliness of sensor data
  • Digital Twin Synchronization: Real-time alignment between digital twin & building
  • Data Latency: Minimal lag between data collection and AI processing
  • HVAC Control Precision: Maintains ideal temperature, humidity, and air quality
  • Lighting Control Accuracy: AI adjusts luminance automatically based on occupancy
  • Water System Optimization:Leak detection, reuse, and flow control
  • Energy Load Shifting Efficiency: Shifts energy use to reduce peak demand
  • Automated Response Rate: % of events where AI successfully executes corrective actions
  • Human Override Frequency: Tracks operator interventions
  • Explainability Score: AI provides clear reasoning behind decisions
  • User Satisfaction:Confidence in AI recommendations
  • Ease of Interaction: Quick access to insights and control
  • Carbon Reduction Accuracy: Real impact vs AI-predicted CO₂ savings
  • Energy & Water Optimization Impact: Contribution of AI to overall efficiency
  • Compliance Automation Rate:% of sustainability reporting automated by AI
  • Demand Response Effectiveness: Success in participating in grid events
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Case Studies

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How a 5-Star Hotel Achieved 27% Energy Savings and Water Sustainability

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How a Leading Theatre Chain Achieved 38% Energy Savings

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Production Measurement from Thermal Power Plant

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Energy Optimization for Ring Frame in Textile Industry

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Moving Forward

Ready to Transform Your Field Operations? Request a Demo Today! CTA – Demo / Contact Page

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