Modular AI-Powered Sustainability Data Management Platform & Physical Asset Management

YodiFEM platform brings together Yodiwo’s two core subsystems:

1)EnGage for ESG Data Management and Reporting and 2)FEnMa for Integrated Facility & Energy Management into one unified environment.

EnGage - ESG Data Management and Reporting

Through its EnGage subsystem, all processes are digitized and automated. This AI powered software consolidates ESG and operational data, streamlines data collection across organizational entities, automates the production of recurring sustainability reports, and supports compliance with major regulatory and voluntary standards such as ESRS, GRI, ISO and related frameworks.

The platform enables:

• Double materiality analysis

• Identification and structuring of Impacts, Risks & Opportunities (IROs)

• Mapping to relevant sustainability indicators and KPIs

• Reliable calculation and monitoring of emissions (Scope 1, 2 and 3)

• Supplier management, including:

• Creation and calibration of supplier profiles

• Supply chain mapping (upstream/downstream)

• Evaluation based on comparable ESG indicators, certifications, and targets

FEnMa – Facility & Energy Management

Through its FEnMa subsystem, Yodiwo implements integrated projects for monitoring and managing building infrastructure and equipment across facilities of various sizes and uses. Leveraging IoT technologies and artificial intelligence, the platform collects and analyzes real-time operational and energy data.
To date, Yodiwo has achieved average energy savings of approximately 18% across more than 500 buildings, while FEnMa users have reported a >25% reduction in equipment maintenance costs, significant reductions in the risk of equipment downtime, and improvements in employees’ wellbeing.

FEnMa supports organizations by offering:

• Continuous monitoring of electromechanical equipment performance

• Detection of anomalies with real-time alerts

• Optimization of HVAC system operation

• Assurance of optimal environmental conditions (air quality, comfort)

• Employee Health & Safety (EHS) monitoring (e.g., by detecting hazardous air pollutants)

• Automated creation of maintenance requests and spare-parts orders

• Calculation of performance and sustainability indicators

• Tracking location and routes of raw materials and products