Visualisation
Clients gain transparent analytics and real-time visibility into system status
Strategy Generation
AI processes large data volumes, identifies hidden consumption patterns, and formulates an optimal operating strategy, subsequently sending control signals to controllers
Processing
A scalable data processing layer that aggregates telemetry in cloud or on-premise environments, enriching it with external data sources including weather, energy tariffs, and traffic indicators
Data Collection
A secure real-time ingestion layer capturing telemetry from sensors, metering devices, and HVAC equipment across distributed sites
Ecomanagement
Platform Architecture
A unified architecture that connects building engineering systems, sensor infrastructure, and AI technologies into a single control platform. The solution delivers an end-to-end data processing loop, converting raw telemetry into scalable, data-driven energy efficiency outcomes.
Reinforcement Learning
The model is continuously refined, with the neural network adjusting control algorithms to achieve optimal energy consumption within agreed parameters and to prevent incidents
Correlation Analysis
and Model Development
and Model Development
Advanced correlation analysis uncovers latent relationships between operational and environmental variables (e.g. humidity, load profiles, and energy consumption). The resulting set of informative features quantifies savings potential and enables site-specific optimisation of control algorithms
Digital Twin
The system creates a virtual replica of a site’s energy consumption, taking into account its parameters and operational dynamics. It establishes a baseline consumption level for each engineering system
Predictive Modelling
and Digital Twin
Instead of static energy management rules, we apply dynamic modelling. Ecomanagement has developed proprietary software for data collection and analysis, active control of engineering systems, and incident notification.
Hardware Layer —
Technical Solutions
Our solution is compatible with any commercially available equipment. Where existing automation is already in place, it is fully utilised, significantly reducing initial deployment costs.
The platform integrates with existing engineering systems via standard communication protocols and can be embedded into customers’ current automation environments, reducing integration complexity and deployment risk
Controllers
The platform is designed for broad controller compatibility, enabling deployment across virtually any controller environment
Combined Multi-Sensors
Temperature, humidity, CO₂, VOCs, noise, and motion — comprehensive environmental monitoring
Meter with Split-Core Current Transformers
Measures energy consumption and calculates savings.
Additional Equipment
An ongoing technology scouting process ensures access to new and cost-efficient hardware solutions, optimising data acquisition while minimising deployment and operating costs
Additional Equipment
Meter with Split-Core Current Transformers
Combined sensor
Controller
Warranty
A 12 to 24-month warranty is provided for installed equipment supplied by third-party vendors.
Data Protection
All data transmission is performed via encrypted channels. For mission-critical sites, the solution can be deployed in a closed-loop on-premise environment
Two-Level Control Architecture
A resilient dual-layer control design ensures that, if internet connectivity is lost, local controllers autonomously maintain safe system operation. This guarantees uninterrupted control and operational continuity at all times
Fault Tolerance
and Security
Software
Further software solutions are under active development
Software
Predictive intelligent system based on physical equations and transformer architecture for forecasting energy consumption systems
Registration No. 2025681393
Software
Automated intelligent system for predictive analytics of IoT energy consumption data based on large language models (LLMs)
Registration No. 2025681392
Software
Computer software for temperature regime forecasting and energy consumption optimisation based on an autoencoder
Registration No. 2025618035
Software
Computer software for monitoring and controlling electricity consumption
Registration No. 2024664547
Invention Patent
Energy Consumption Management System
Patent No. 2821067
Intellectual
Property and Research
Ecomanagement technologies are developed in-house with the support of the Skolkovo Innovation Centre and are protected by Russian Federation patents
Energy efficiency management
Skolkovo Resident
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