AI-Cure
Who is AI-Cure for



Features

Energy
Monitoring
You will be able to monitor energy production, consumption, and storage from Renewable Energy Plants

Anomaly
Detection
You will be able to verify the correct installation of plants and devices, and validate sensor and meter telemetry

Energy
Saving
You will be able to identify consumption profiles, view personalized energy advice, and control real-time systems to reduce consumption, costs, and emissions

Energy Demand
Management
You will be able to balance energy demand and increase self-consumption in energy communities
FAQ
Everyone can tell you how much you are consuming. AI-Cure is not born for that. AI-Cure suggests what you can do to save, and it tells you in real-time thanks to its Machine Learning and Artificial Intelligence algorithms, continuously learning from your feedback and consumption behavior.
AI-Cure monitors and manages energy consumption, detects anomalies in the installation and operation of IoT plants and devices, reduces energy waste through its Artificial Intelligence, predicts energy needs, and enables intelligent use of systems, such as lighting, HVAC, air quality, etc.
AI-Cure uses Artificial Intelligence algorithms to identify inefficiencies in plant usage and provides energy advice to encourage behavior change towards virtuous and sustainable consumption profiles. By following AI-Cure’s advice, you can save on your energy bills, increase self-consumption, and reduce environmental impact.
AI-Cure is a responsive web-based platform. You can conveniently use it on PCs and mobile devices such as smartphones or tablets.
AI-Cure can be integrated through RESTful APIs and standard communication protocols. AI-Cure is available in On-premises or Cloud mode.
Yes, you can customize AI-Cure based on the type of building, the number and size of rooms, the parameters to monitor (e.g., energy flows, environmental parameters), and the characteristics of your systems.
Aivolution supports customers in all stages of AI-Cure adoption: from defining implementation methods to installation, from training to technical support, from maintenance to platform updates.