Discover how AI and cameras helped reduce downtime in pharmaceutical production. In just 3 months, a system for detecting fallen vials was implemented with 99.89% accuracy—without interfering with machines and in full compliance with industry standards.
Category Archives: Case studies – en
Eliminating Manual Parameter Tuning with AI – Real-Time Peak Detection
We developed a fully automated peak detection algorithm for detector signals. The solution runs reliably on embedded hardware (Raspberry Pi) and was tested in the client’s real production environment, delivering consistent, repeatable results and full readiness for deployment.
Sustainable Development Through Artificial Intelligence: Energy Efficiency and CO₂ Reduction
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.
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.