Artificial intelligence for enhancing energy management in buildings


Designed to be highly interpretable and explainable for the energy experts to support effective  and timely intelligent energy decisions.

Agnostic Integration

Flexible for the integration with monitoring, data collection and storage systems currently available on the market.

Cloud Based

Based on artificial intelligence frameworks deployed through cloud environment.


Designed to be versatile and effective against any configuration and size of energy system and building.

API-first model of ToBe Analytics

Our API-first model makes it possible to connect our advanced AI-based processes to your existing applications, ensuring quick and easy integration into your energy management and monitoring platform and enhancing your energy services. Our APIs are designed to support various types of interfaces:


 Concise data format for efficient processing and integration with your platform. Designed for developers who prefer to work with technical formats and want the ultimate control over data processing.

HTML Widget

Interactive element for seamless integration with web/app pages. Designed for those looking for a solution that integrates a visualization window into their platform to easily explore information in real time.

HTML Dashboard

Fully-featured web inferface designed with multimedia content for an engaging user experience. A comprehensive solution that provides an intuitive user experience, adaptable to the specific needs of your business.


Structured document that presents a summary of the information provided by our solutions in a professional and sharable format. For those who need comprehensive and in-depth documentation on a reporting period, ready to be shared or archived.

Trend Analytics

  • Identifies poorly performing building operation.
  • Supports the identification of objective on energy use and the benefits of improvements.
  • Increases awareness of energy efficiency among building occupants.
  • Supports the prioritization of poorly performing facilities for immediate improvement.
  • Establishes reference points for measuring and rewarding good performance.
  • Helps to develop a comprehensive energy management action plan and build the business case for capital investments (retrofits).
  • Leads to savings that will lower energy costs while maintaining – or even increasing – profit margins.


  • Helps to define demand management strategies to maximize renewable energy use.
  • Informs energy manager on the occurrence of a peak in the building load.
  • Helps to avoid penalties in the electricity bill or load shedding and power outages.
  • Increases building flexibility by means of a predictive approach.
  • Helps to improve the operation of HVAC and energy storage systems.
  • Supports the participation to demand response programs.

Anomaly Detection and Diagnosis

  • Identifies anomalies in the energy consumption of the building and diagnoses the related causes.
  • Identifies typical and infrequent patterns in the energy consumption time series of the building/energy system.
  • Supports predictive maintenance processes.
  • Reduces equipment downtime, waste of energy and service costs.
  • Avoids violations of indoor environment requirements due to failures of HVAC system components.

Measurement and Verification

  • Establishes a baseline for measuring improvement in energy consumption.
  • Performs analysis compliant for obtaining economic incentives.
  • Helps to plan energy saving and energy conservation measures.
  • Leads to high reliable energy saving assessment with low-uncertainty.
  • Complies with international measurement and performance verification protocols.
  • Certifies the economic effect of energy conservation measures.

Smart Reporting

  • Automatically generates informative and dynamic reports on the historical energy performance of your building.
  • Makes use of multicriteria and time-based energy and IEQ KPIs.
  • Provides an overview at building and system level energy usage.
  • Helps the management of Utility Budget (operating costs).
  • Provides insights on energy usage in real time and on historical energy performance.
  • Performs comparison along different spans of time and between different energy systems/buildings/end-uses.
  • Dynamically adapts the analysis to metering infrastructure changes.
  • Provides interpretable and intuitive advanced visualizations to be monitored at a glance.