Projects

Enterprise platform for seamless AI service integration. Over 96 tools from five services are securely and efficiently connected via MCP interfaces, including automated service discovery, context management, and multi-tenant authentication.

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.

Migration and modernization of a profit-optimized gas storage platform, including UI redesign, data migration, technology update, and new features for scalability, security, and automation.

Comprehensive power plant management system using advanced technologies to enhance performance, optimize operations, and reduce costs, 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.

Modernized gas portfolio management system with Angular frontend and .NET/C# backend. Focused on performance, usability, and industry-specific features for long-term gas trading.

Efficient organization and optimization of back-office processes in accounting, personnel planning, and billing. Implementation of automation to increase efficiency, reduce workload, and enhance transparency.

Strategic Brand-to-Market launch for Kevin Metz: data-driven brand positioning, trust-based brand identity, and performance-optimized Next.js website with Sanity CMS – from brand conception to successful market launch in 4 weeks.

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 real estate investors with a custom reporting tool using Google Sheets and Google Slides for efficient financial analysis and professional presentation.

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.

Development of REST-based microarchitecture applications for an inventory management system, including an anti-corruption layer for secure data transfer and seamless SAP integration.

Secure software solution for ICAO-compliant ID smartcards with a user-friendly client and on-site installation, ensuring reliable and compliant usage.

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.