At Apavil Olănești, technology met responsibility. We fully automated the processes of the Apavil wastewater treatment plant by implementing a zenon, Copa-Data SCADA system with complete digital control, smart sensors, and automatic alarming.
Intelligent real-time decision-making
From sensors to insights. Turning predictability into performance.
With industrial AI and Machine Learning, monitoring is just the beginning. You learn, predict, and continuously optimize. At bitYes, we turn your operational data into algorithms that reduce errors, boost performance, and automate essential decisions.
Key technical features:
Large-scale industrial data collection
Multiple drivers, SCADA/ERP/PLC/MES interoperability
Hybrid edge and cloud processing
Local execution, centralized synchronization
True scalability
high-speed replication across industrial facilities
Industrial MLOps
full support for the model lifecycle (from prototype to production)
Security and governance
unified namespace, encryption, auditing, and multi-level authentication
Production-ready AI/ML technical solutions:
Anomaly detection systems
- Algorithms: neural networks, autoencoders, LSTM
- Data: vibration, temperature, pressure, currents
- Outcome: early detection of abnormal behavior
Industrial process optimization
- Reinforcement Learning, Bayesian models
- Automatic parameter adjustment for maximum efficiency
- Applications: dynamic tuning, loss reduction
Predictive maintenance
- ML models for time series (regression, classification)
- Estimation of the remaining useful life of critical equipment
- Integration with maintenance systems and automated alerting
Visual quality inspection
- AI-based image analysis
- Defect detection, dimensional verification, and labeling inspection
- Edge computing processing with speed and accuracy
Where do we apply industrial AI?
Energy
- Consumption forecasting, load balancing, and failure prevention
- Monitoring of generators, transformers, and sensors
Food and beverage industry
- Visual inspection of packaging and labeling
- Optimization of recipes and dosing processes
- Monitoring of production conditions for traceability
Automotive
- Defect prediction in welding and painting processes
- Automated inspection of subassemblies
- Internal logistics optimization, end-of-line (EOL) control
Logistics and storage
- Picking and warehousing automation
- Product recognition, route optimization, demand forecasting
Pharmaceuticals industry
- Visual quality control in packaging and molding
- GMP-compliant environmental monitoring (temperature/humidity)
- Regulatory traceability and audit support
Why implement AI/ML technical solutions in your factory?
- +7% equipment efficiency
- -4% energy consumption
- +10% final product quality
- Elimination of unplanned maintenance costs
- True decision automation, supporting Industry 4.0
- Full visibility into equipment and processes
OUR PROJECTS
Dedeman, Bacău
Dedeman – From Human-Centered Values to Automation. The Story of a Sustainable Partnership
The partnership between Dedeman and bitYes evolved naturally, built on trust and shared values. Starting as early as 2012, we jointly developed a comprehensive Building Management System (BMS) for dozens of stores across the country, based on Beckhoff and zenon (Copa-Data) technologies.
Terapia, Cluj
Terapia – Environmental Control That Protects Lives
For Terapia, precision is not an option, but a true obligation. At their factory in Cluj, we implemented a complete EMS system designed to monitor critical parameters — temperature, humidity, pressure, particles, and access — in cleanrooms and pharmaceutical production areas.
Dacia Mioveni Plant – Automation with Heart and Precision
Proiectul de automatizare realizat pentru Uzina Dacia Mioveni a pornit de la ideea că tehnologia trebuie să servească oameni. O soluție completă de automatizare a liniei de verificare a etanșeității blocurilor motor, bazată pe tehnologii Siemens și Keyence, integrată perfect în sistemul existent.
Hochland, Sovata
Hochland Romania Project – Energy Management System (EMS)
A project born from the desire to reduce waste and respect resources. We implemented a comprehensive energy monitoring and analysis system (EMS) based on zenon, Copa-Data, integrating smart meters, SCADA, and predictive analytics.
Rompetrol Vega Project – SCADA System for the Compressor Station
In an environment where every second counts, we brought control and clarity. Through a customized SCADA system, we ensured full monitoring of the compressor station, real-time visualization of parameters, and automated reporting.
Ready to take the step toward AI?
Learning algorithms. Adaptive processes. High-performance production.
SUPPLIERS
