We aggregate your multi-source and multi-fluid data
Energy bills
Thanks to OCR technology (optical character recognition), the savee platform collects and analyzes your energy bills automatically.
Remote reading from main supply meters
Consumption data from your smart meters is uploaded on savee with a 10-minute interval and available for analysis the next day.
IoT sensors
Enhance your energy analyses with comfort and sub-metering data from smart sensors (temperature, humidity, CO2) installed by our operations team or partners.
BMS and other data
Advizeo offers solutions to connect your existing BMS systems and utilize their data thanks to savee. We have also developed additional connectors and APIs to adapt to your specific business needs.
The Data Management offer by advizeo
advizeo assists you in leveraging your data to facilitate the deployment and monitoring of your energy strategy
- Custom dashboards and KPIs on your savee platform
- Regular user training
- Continuous data qualification: flow statistics, completeness, consistency
- Development and monitoring of a verification and measurement plan (IPMVP or other)
- Assistance in defining alerts to early identify overconsumption
- Semi-annual meetings with a dedicated project manager
+ 200 energy suppliers
connected to savee
> €1.8 Billion
in aggregated energy bills
18 million
data points everyday
Access reliable and actionable data
At the scale of an asset portfolio, accessing qualitative and comprehensive data is an ongoing challenge.
Your challenges
- Data accessibility: Building, energy, and comfort data are dynamic, multi-fluid, and multi-source, making data collection complex.
- Granularity: Insufficient data frequency makes anomaly detection more challenging.
- Reliability: Your data forms the foundation of a successful energy strategy. You need to trust the information displayed on your platform.
Our solutions
- IoT installing: Depending on the equipment level of buildings, submeters or IoT comfort monitoring installation may be necessary.
- Automation: Implementing robust data retrieval mechanisms allows automatic data cleaning.
- Data engineering: Human intervention remains essential to ensure data compliance and long-term reliability.
