The designed system enables the client to automatically manage energy in real time, based on accurate forecasts of production and consumption. The solution supports the optimization of costs, energy usage, or CO₂ emissions depending on the selected objective.
Category Archives: Case studies – en
From Manual Scans to 80% Automation – AI and OCR Transforming Healthcare Billing
Discover how an American healthcare client automated 80% of its billing process using artificial intelligence—eliminating manual document processing and significantly reducing operational costs, all while maintaining quality and compliance.
Reducing Costs by €100,000 and Shortening Training Time with AR Glasses
Discover how AR technology can automate operator training, cut costs, and reduce onboarding time from days to hours.
Development of a GDPR-Compliant Chat Module for SynComNet
For our client SynComNet, we developed a modern chat system integrated with ERP and Azure that automates team communication, enhances operational efficiency, and ensures full access control.
How We Saved €960K Per Year by Reducing the Order Management Team from 15 to 5 with AI and LLMs
Automation of the order entry process using large language models (LLMs) allowed the biotechnology company to save €960,000 per year by reducing staff in the department responsible for order processing.
EV Charging Optimization with AI – More Efficient Last-Mile Deliveries
By implementing a specialized AI-powered optimization engine, the client gained the ability to precisely plan EV fleet charging under varying operational conditions. Flexible goal modeling (cost or CO₂ emission minimization) and fast system response times led to improved infrastructure utilization, cost reductions, and enhanced efficiency.
Fleet Optimization and Customer Retention in Shared Mobility Using Geolocation Analytics
A comprehensive analytics project delivered for a shared mobility platform operator. The goal was to improve fleet utilization efficiency and boost customer retention through geolocation data analysis and user segmentation.
Smart Biomarker Discovery Platform: AI and ML Empowering Biomedical Research
A platform that enables disease biomarker identification without the need for programming. With full automation of analytical processes, integration with databases, and advanced machine learning algorithms, the platform supports research at leading scientific institutions worldwide.
Artificial Intelligence in Microbiology Labs – Accurate Bacteria Detection Without Human Intervention
We implemented laboratory diagnostics automation using deep learning. With the help of AI, we reduced costs, accelerated sample analysis, and improved accuracy in a project for a global pharmaceutical company.
AI-Powered Biomass Monitoring – Automating Underwater Life Tracking
We developed an AI system for automatic shrimp counting and biomass monitoring in aquaculture, using Computer Vision and deep learning methods (YOLOv5). The solution analyzes images captured every minute to precisely track population growth without disturbing the aquatic environment.