The AI agent powering next-generation energy management
E‑BOOST is the platform developed by Veil Energy to simplify, accelerate and strengthen the work of consultants, energy managers and auditors. An operational AI agent that supports professionals in managing energy performance, controlling costs and optimising assets.
The expert remains in control of the strategy.
The technology automates analysis, validation, reporting and performance monitoring
Operational tool and internal efficiency
AI to support decision-making
Reduction in manual workload and reporting
Strengthening the relationship with the end customer
The most common challenges
- Increasing regulatory complexity and compliance obligations
- Greater pressure to deliver post-audit results
- The need to demonstrate energy performance over time
- Margins increasingly dependent on the ability to monitor and optimise
Our approach: a technology partnership, not a replacement
E‑BOOST enhances the operational capacity of energy experts by reducing manual workload and turning continuous monitoring into a scalable and competitive advantage. With E‑BOOST, you can:
- Manage more clients with the same team
- Deliver continuous, high-value services
- Reduce compliance risks
- Objectively demonstrate achieved results
- Develop new service models based on performance and continuous monitoring
E‑BOOST modules for energy experts, energy managers and auditors
Advanced energy performance management of assets
- Continuous multi-user and multi-site monitoring
- Automated energy KPIs and performance indicators
- Baseline analysis and variance analysis
- Identification of anomalies and performance deviations
- Support for sustaining results following intervention
Cost & Energy Management
- Automatic correlation between consumption and costs
- Load curve analysis and time-of-use optimisation
- Support for reviewing contract terms
- Structured reports for industrial clients and SMEs
Optimisation of prosumer systems
- Analysis of production versus consumption
- Maximisation of self-consumption
- Reduction of grid draw
- Simulations of improvement scenarios
Optimisation of BESS systems
- Monitoring of charge/discharge cycles
- Performance and degradation analysis
- Optimisation of usage algorithms
- Integration with production and consumption systems
