Drive Strategic Operational Excellence
Leverage AI-powered analytics, including Non-Intrusive Load Monitoring (NILM), for predictive maintenance, energy demand forecasting, and advanced cost benchmarking.
Who Is This For?
- COOs & VPs of Operations: Driving strategic operational improvements and capital efficiency.
- Technical Directors & Energy Managers: Seeking granular, appliance-level insights for optimization.
- Industrial Consultants: Requiring advanced analytics to deliver value to their clients.
The Opportunity
Beyond basic monitoring and compliance, energy data holds the key to strategic operational advantages:
- — Identifying energy-intensive equipment for targeted optimization
- — Predicting equipment failures before they cause costly downtime
- — Data-driven capital investment decisions for energy efficiency
- — Cross-site performance benchmarking for continuous improvement
Advanced Capabilities
AI-powered tools for strategic energy management and operational optimization.
AI Load Disaggregation (NILM)
Our proprietary AI analyzes signals from a focused set of measurement points to infer machine-level consumption profiles with fewer dedicated submeters.
Predictive Analytics
Forecast energy demand and identify equipment maintenance needs before failures occur.
Advanced Benchmarking
Compare energy performance across sites, equipment, and time periods with granular precision.
API Data Access
Access trusted energy data via API for integration into your own operational, analytics, and reporting systems.
What's Included
Our most comprehensive solution for maximum operational impact.
- Built on the Core Insights data foundation, subscribed separately
- AI load disaggregation (NILM) — machine-level visibility with fewer measurement points
- Predictive analytics for equipment maintenance & energy demand forecasting
- Advanced cost benchmarking
- API access for integration into customer systems
- Dedicated technical account team
How AI Disaggregation Works
Our AI engine analyzes high-quality electrical signals from selected veer.io measurement points and infers machine-level consumption profiles — identifying relevant equipment, production lines, and load types without requiring a sensor on every device.
The result: machine-level visibility into which equipment consumes the most energy, when peak usage occurs, and where optimization opportunities exist — all from the same trusted data infrastructure.
Transform Energy Data into Strategic Advantage
Unlock AI-powered insights that drive operational excellence and measurable ROI.