Consulting on Business Software
As experts in the area of software and AI, we consult our customers regarding the opportunities and risks of software-based business solutions. To achieve optimal results, we focus on solutions that can be tailored to the individual needs of a customer or company. Usually, this involves targeting the following goals:
- increasing efficiency
- improving competitiveness
- open up new business areas
- save on costs
- creating sustainable solutions
Scenarios
Consulting on Opportunities of Digitalization
Which business processes can be made more efficient with software?
Consulting on AI solutions
What AI products can be used in my company? What risks are there?
Consulting on digital customer relations
How can we manage customers digitally? How to understand digital customer behavior?
Consulting on Open‑Source-Software
What Open‑Source-Software can be used, and what risks are involved?
Consulting on Cloud and Server Hosting
What cloud services are relevant for my company? What costs can be expected?
Scope of Services
Strategic advice. We support our customers in the development of a custom digitalization strategy tailored to their company, such that the right software is used at the right spot to solve the important problems.
Workshops. To better understand both the possibilities and risks of new technologies, we provide hands-on workshops and demonstrate technologies using examples related to the industry of our customer.
Testing existing solutions. We demonstrate existing commercial software solutions or Open‑Source-Software such that customers may get a first impression.
Feasibility checks. We check the practicality of new ideas and concepts. Meanwhile, we estimate both costs, time requirements and profitability of a custom software solution.
Projects
Camera-based In-Line Inspection of Machine Parts
In this project, a software was developed that inspects the surface of machine parts. Based on camera images, the software detects and evaluates surface anomalies like scratches or pores. The evaluation result determines whether machine parts are accepted or rejected.
Technologies: Python, PyPylon, OpenCV, PyTorch
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
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