Individual Software and AI Solutions
We provide requirements analysis, solution design, software development, deployment, maintenance, and support.
Document Classification in Digital Libraries
Automatic predictions of subjects using Artificial Neural Networks and Transformer models.
Real-Time Analysis of Reflective Surfaces
We develop custom algorithms for in-line camera-based defect detection on reflective surfaces.
Sustainable Software Development
Sustainability concerns us all. We develop software in a technically, economically and ecologically sustainable way.
Services
Custom Software Development
Development of new or improvement of existing software based on customer requirements
Consulting on Business Software
We consult businesses on software solutions and develop digitalization strategies
Integration of AI Solutions
Deployment of existing AI solutions and development of custom AI models
Web and App Development
Development of web-based Applications and mobile Apps, for Android and iOS
Operation and Support
Installation, server administration, maintenance, and support for software solutions
Further Services
Software development for online shops, image processing, full‑text search, data analysis
Expertise
Projects
Improvement of the No-Code Tool “Decision Support UI”
The graph-based tool “Decision Support UI” allows to interactively design and evaluate models for decision making using Monte-Carlo simulation. The software was updated and improved. Among other things, a desktop version for Microsoft Windows was created using Electron.
Technologies: Javascript, Vue, Electron, Python, FastApi, R
Development Support for the Open‑Source Software “Kitodo.Production”
Kitodo.Production is a web-based tool to support digitalization work in libraries, museums and digital archives, e.g., importing and managing scans of documents or books, compiling and exporting metadata. In this project, the software was improved regarding both performance and usability.
Technologies: Java, PrimeFaces, MySQL, ElasticSearch
REST Service for Document Classification in Digital Libraries
In this project, the Open‑Source software “slub_docsa” was developed. It allows the comparison of state-of-the-art machine learning methods (e.g., Artificial Neural Networks) for the purpose of automatically annotating documents with detailed class hierarchies often used by libraries (e.g., DDC). A REST service provides the trained models.
Technologies: Python, Scikit-Learn, PyTorch, Transformers
We look Forward to Hearing from You
Send a Message
Call by Phone
+49-391-40594560
(Mon ‒ Fri, 9am ‒ 5pm)