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.

For this project, we implemented detailed back-office management to control this company structure, enabling precise financial administration on an individual level, including real-time tracking of available funds per person and precise cash flow planning.

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.

We have equipped Geschenkzeitung.de with a new logo and a new website that offer a modern and intuitive shopping experience. The online shop has been completely redeveloped in Angular and implemented as a Progressive Web App, so that it can be used optimally on all devices.

We've developed an innovative insect protection jacket and its associated brand FUNC, merging functionality and design, built upon intensive research and collaboration with quality-driven producers.

The project introduces a centralized platform for managing data related to medical professionals, institutions, events, and products, controlled by authorized administrators. It facilitates the creation, maintenance, and organization of detailed profiles and events within the medical sector. This platform offers a comprehensive solution for efficient data management in the medical domain.

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.

UroStatistix facilitates efficient quality management for microbiological urine tests. It documents infections, antibiotic sensitivities, and allows statistical analysis, all meeting EUCAST standards. Developed with DIAG WISS, it ensures compliance and streamlines documentation for urology practices.

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.

For a personal portfolio, we were responsible for both the design and the technical implementation of the website. React with NextJS, Framer-Motion, HTML, Typescript and TailwindCSS were used for the frontend. Sanity.io served as the backend in order to manage the website content as flexibly as possible as an easy-to-configure CMS.

In the development of a brand and product line for a digital food startup, a journey around the world in a jar was created, featuring delicious, canned dishes from various cultures.

We developed a dynamic website for the heavy metal band RIGORIOUS from Monheim am Rhein, seamlessly integrating platforms like Spotify, YouTube, and Bandsintown. The website was implemented using Sanity.io as the backend and Astro as the static site generator.

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

We developed a new brand design for KB-Automation, a manufacturer of ultrasonic welding machines for metal and plastic. This included a new logo, web design and various print media such as flyers, posters and business stationery.

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.

Our project involves the comprehensive development of a new brand including logo, corporate identity, and website design, as well as the individual programming of a website for marketing event offerings. Additionally, we have developed the "Event Manager," which digitizes workflow processes and enables the planning, execution, booking allocation, and invoicing of events.

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 developed ERP solution aims to optimize operations and enhance efficiency. By integrating various business processes, it provides a comprehensive platform for managing and controlling enterprise resources.

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.

Our advanced document verification solution strengthens border control through innovative technology. With a user-friendly interface, it provides efficient and reliable inspection of travel documents. This solution enables quick and accurate identification to enhance security at border crossings and combat illegal activities.

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.

Our project comprises the development of a content management system (CMS) through a scientific elaboration and a prototypical implementation. We analyze existing solutions on the market, identify weaknesses and then implement a prototype based on a generic data model.

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.

Our project involves the creation of an efficient ticketing system, enabling shift workers to easily capture and delegate issues and errors. Through automatic categorization and assignment of responsibilities, smooth processing is ensured, including the option for escalation.

Our project focuses on leveraging ultrasound technology alongside advanced computational methods to improve the detection of cerebral tumors. By combining ultrasound imaging with evolutionary algorithms, we aim to develop a more accurate and efficient approach for approximating perfusion models in brain tissue affected by tumors. This innovative method promises to enhance intraoperative tumor detection, aiding surgeons in making more informed decisions during surgery.