Tech-stack update
Refactoring, migration and redesign of legacy technology solutions
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Benefits
01
Up-to-date technology is used again, lowering total cost of ownership.
02
Finding the right engineers is easier, because of up-to-date technology in use.
03
New versions offer better development productivity. New features can be developed faster.
04
Security holes are patched for up-to-date technology.
05
Support for components is offered again.
What is this?
Technologies



Implemented projects in
/ Projects we are proud of
Development of an Advanced Telecommunication Module for Next-Generation Vehicles
See how we developed a telematics module for BMW – enabling communication with the OEM backend, GNSS integration, eCall functionality, and infotainment support.
260 Hours Saved with Claude Code: How We Reduced the Audit, Upgrade, and Security Testing Timeline for a BMS-Class System from 7 to 6 Months
See how we leveraged AI to modernize and enhance the security of a legacy system. Reduced delivery time by 25–30%, saved 260 labor hours, and eliminated 87 security vulnerabilities in the BMS system.
How We Improved the Development and Maintenance of an ERP System in a Legacy Application
We supported the reorganization of our client's development team and optimized the further development of the ERP system based on Oracle Fusion Middleware.
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…
Revolutionizing Railroad Sleeper Damage Detection with AI/ML
For an international company specializing in automating railroad processes, we developed software to identify specific foundation defects.
AI/ML Application in Hypoglycemia Risk Prediction for Diabetic Patients
AI/ML supports diabetes care – the system analyzes patient data and alerts about hypoglycemia, enhancing safety and reducing the burden on medical staff.
AI/ML