# AI-Condition

> AI-Condition is an AI-powered SaaS platform that optimizes HVAC (Heating, Ventilation, and Air Conditioning) systems in large commercial buildings across Europe. Using digital twin technology, it predicts occupancy patterns, weather conditions, and energy prices up to 24 hours in advance — reducing energy costs by more than 15% while maintaining or improving occupant comfort.

AI-Condition is developed by CNJ digital (Ljubljana, Slovenia) in a consortium with Pareto Ltd. and DERŽIČ - DREZGA Ltd. The project is co-financed by the European Union under the Recovery and Resilience Facility (NextGenerationEU).

## Product

AI-Condition is a cloud-based B2B SaaS platform targeting facility managers, building owners, and energy managers responsible for large commercial buildings (offices, shopping centres, hotels, hospitals) in Europe.

**Core technology:** Digital twin + predictive AI
**Target buildings:** Large commercial buildings, typically 5,000 m² and above
**Savings delivered:** More than 15% reduction in HVAC energy costs
**Prediction horizon:** Up to 24 hours in advance
**Pricing currency:** EUR (€)
**Measurement units:** Metric system (m², °C, kWh)

## Key Features

- **Predictive Analysis** — Forecasts occupancy, weather patterns, and energy prices up to 24 hours in advance to pre-optimise HVAC settings.
- **Digital Twin Technology** — Creates a virtual replica of the building's HVAC system to simulate and test optimisation strategies before implementation.
- **Energy Optimisation** — Dynamically adjusts HVAC settings based on real-time and predicted data to reduce energy costs by more than 15%.
- **Real-Time Monitoring** — Dashboard with live performance metrics, savings tracking, and optimisation opportunities.
- **Smart Integration** — Connects to existing Building Management Systems (BMS) without requiring hardware replacement.
- **Sustainability & ESG Metrics** — Tracks and reports carbon footprint reduction to support ESG compliance and reporting requirements.

## How It Works

1. **Data Collection** — Historical and real-time data is gathered from the building's systems: occupancy patterns, weather feeds, and energy usage.
2. **Digital Model Creation** — AI builds a virtual replica (digital twin) of the building's HVAC system, modelling all components and their interactions.
3. **Predictive Simulations** — The digital twin runs simulations to predict conditions and optimise settings 24 hours ahead.
4. **Automatic Implementation** — Optimised settings are pushed to the existing BMS automatically, reducing energy use while maintaining comfort.
5. **Continuous Learning** — The AI learns from actual results, improving prediction accuracy over time.

## Benefits

- Reduce HVAC energy costs by more than 15%
- Improve occupant comfort and air quality
- Extend equipment lifespan by eliminating inefficient operation
- Meet ESG goals with automated carbon footprint reporting
- No hardware replacement required — integrates with existing BMS
- Data-driven insights for informed capital planning decisions

## Company

**Company:** CNJ digital (lead partner)
**Consortium partners:** Pareto Ltd., DERŽIČ - DREZGA Ltd.
**Address:** Dunajska cesta 47, 1000 Ljubljana, Slovenia
**Phone:** +386 59 011 543
**Email:** info@cnj.si
**Website:** https://aicondition.eu
**Demo dashboard:** https://admin.aicondition.eu

## EU Funding

AI-Condition is co-financed by the European Union under the Recovery and Resilience Facility (NextGenerationEU / Načrt za okrevanje in odpornost). More information about European-funded projects is available at https://www.evropskasredstva.si.

## Target Audience

- Facility managers of large commercial buildings
- Building owners and real estate asset managers
- Energy managers and sustainability officers
- Property management companies
- Hotel and retail chain operators
- Hospital and public sector building administrators

## Contact & Demo

To request a demo or get in touch, visit https://aicondition.eu/#contact or email info@cnj.si. A live demo dashboard is available at https://admin.aicondition.eu.