Projects

The project involves the development of an AI-supported system for the automatic transcription of audio files for podcasts. The aim is to convert spoken word into text precisely and efficiently in order to make podcasts accessible without barriers.

The project aims to develop a comprehensive management system for power plants using advanced technologies to enhance performance, optimize operations, and reduce costs, thereby supporting a sustainable energy supply.

Our solution enables the visualization and management of contract data for external key customers through the development of a user-friendly application. It provides features for displaying measurement data, accepting energy forecasts, and managing delivery failures.

This system was developed using the latest Angular technologies on the frontend side and .NET along with C# on the backend side. Our aim was to modernize the system and make it faster. The usability has been enhanced, and new features have been developed.

The project aims to efficiently organize and optimize back-office administrative processes, particularly in preparatory accounting, personnel planning, and billing. Key tasks include maintaining financial data, creating work schedules and billing, as well as implementing automation to improve efficiency. Through close collaboration and accurate execution, the goal is to optimize processes long-term, reduce workload, and increase transparency.

When the company was founded, we were able to develop a brand image for Kevin Metz - Training & Consulting, including a logo, typography and imagery. In addition, we developed a modern, user-friendly and SEO-optimized website using React/NextJS and Sanity.io as a CMS.

Our team advanced a Python-based system for cash flow and liquidity planning, integrating customer data and environmental factors for more accurate predictions.

We have implemented an automated software system that provides a map view visualizing all gas trading zones and points in Europe. It enables calculation of the most cost-effective transport routes and automatic identification of arbitrage opportunities.

We developed an AI system for the automated detection and classification of hazards in fluoroscopy systems. Our services included the implementation of image pre-processing, the design and implementation of AI models, and the development of embedded hardware architectures.

The Project consisted development on The full-stack adtech platform for European broadcasters and premium publishers managed by the adtech development unit of RTL Group

Preparation of monthly and quarterly reports for shareholders based on an analysis of the current situation, followed by the development of a reporting tool using Google Sheets and Google Slides.

Our team has developed AI systems for predictive maintenance of casting processes for clients in the automotive industry. We have prepared and analysed customer and image data, implemented data pre-processing and designed, implemented, validated and optimised the runtime of custom AI models.

We worked on the co-development of standardized audit processes for German CCIs and developed a system that implements these processes via a generic rule engine. The focus was on close cooperation with the CCIs to ensure that the developed processes meet their requirements.

The platform we co-developed enables the extraction, visualization and provision of market data from various sources in a standardized form. Data can be queried via a generic API, whereby access rights are taken into account.

The project involved the development of REST-based microarchitecture applications for a merchandise management system. The central aspect was the implementation of an anti-corruption layer for secure data transfer between the systems and the seamless connection to SAP systems via REST APIs.

Development of a User-Friendly Software Solution for Reading ID Cards, Compliant with Government Standards, with On-Site Maintenance in a European Country

In this project, we transferred the user interface of a generic master data and business process framework from Silverlight to HTML5 and JavaScript in order to ensure a more modern and platform-independent use in the long term.

We have developed a software system that enables the process-supported recording, management and billing of renewable energies. It automates the billing of solar power plants, wind farms and similar systems in accordance with the requirements of the German Renewable Energy Sources Act (EEG) and is optimized for use by municipal utilities.