Tax authorities face the challenge of digitizing tax audits efficiently and securely. The exchange of sensitive documents requires the highest security standards to ensure data protection and compliance.
FinDrive integrates highly secure cloud storage with end-to-end encryption for document exchange. Our service includes design, architecture, frontend and backend development using modern technologies such as Kotlin, Spring Boot, VueJs and MariaDB. This platform enables secure and efficient document exchange, which not only meets compliance requirements, but also modernizes and accelerates the audit process.
The challenge is to update the software technologically in order to ensure its future viability and improve its performance.
Once the necessary updates have been identified, we work on modernizing the car price comparison software to bring it up to the latest technological standards. After the update, we provide ongoing support and advice and work together with the client on the further development of the software in order to continuously increase its precision and user-friendliness.
The task is to quickly identify and analyze potential faults in the charging infrastructure, which is crucial for smooth operation.
We optimize error detection and correction through improved data analysis and processing. Validated data flows back into the system based on messages, which increases reliability and efficiency.
The challenge lies in migrating the Go-Ahead product with the existing infrastructure to the OVH cloud while ensuring the high requirements for software systems in the critical infrastructure.
Our team provides support from technical consulting and implementation through to the rollout of the systems. This includes the development of IT concepts, the implementation of Kubernetes deployments and the setup of monitoring systems.
The core problem was to prepare extensive tracking data in such a way that it was understandable and easily accessible.
To do this, we implemented a big data store that collects and interprets tracking data. This data is then seamlessly transferred to the front end via an interface to provide users with detailed insights into their campaign performance.
The lack of established quality management for neural networks poses an economic and technical risk. This impairs trust in AI systems and inhibits their broader application in industry.
The DeepTest test pipeline is designed to strengthen confidence in neural networks and deep learning models and effectively increase model quality and the efficiency of the development process.
The search for and ordering of spare parts is often cumbersome, which leads to loss of time and frustration.
tef-KAT offers an intuitive 2D/3D representation of the parts and a user-friendly interface. Our work includes the UX design and technical implementation as a Vue.js application, the development of a CI style guide and the integration into the backend infrastructure. We ensure a flexible system design that easily integrates product changes and price updates and provides additional features for a comprehensive and efficient user experience.
Quantisana TV was faced with the challenge of modernizing its technological infrastructure while simultaneously increasing the efficiency of its business processes.
We advise the customer on this and provide support in all development work, from web-based projects to local client-server systems. We also operate the broadcaster's cloud-based system and provide support with digitization.
The efficient processing and analysis of sensitive health data requires high security standards and the integration of the latest cryptographic methods.
A special project within the platform uses artificial intelligence for diagnostic evaluations by developing hardware for automated laboratory tests that generate image data. This data is automatically analyzed by self-learning AI models in the backend service and verified if necessary, which significantly increases the efficiency and accuracy of diagnostics.
The challenge was to develop an efficient method for centralized data collection and storage that would allow easy integration into existing systems.
In our solution, the stored data is made available to other applications for analysis, visualization and continuous monitoring via standardized interfaces.
This system should be able to effectively collect and process complex data volumes.
We supported the IT concept and the specialist department and developed an application that aggregates and enriches charging infrastructure data from various sources and makes it available for analysis purposes.
The search for the right spare part is laborious and time-consuming.
easyPart allows you to search for spare parts by VIN or by make, model and year of manufacture, offers comparison options by price and delivery time and supports direct ordering from various suppliers with a clear order list. Our field of activity includes the development, optimization, consulting and maintenance of the easyPart store and app.
The integration of AI functions in products poses problems, as existing development processes often only offer limited insight into functionality and security. This leads to a lack of transparency and comprehensibility.
veoPipe integrates “explainable AI” (xAI) into the product development process to make it more efficient and transparent. By combining xAI with classic quality management methods and data-based verification, the system enables a deeper understanding and better verification of AI functions. This leads to accelerated, secure and trustworthy development. As a result, veoPipe sets new standards in quality assurance and promotes the acceptance of products with AI functionalities.
The management of resources and emergency personnel in disaster situations is often complex and difficult to manage.
KATMA digitizes and simplifies disaster management. The software facilitates the distribution and analysis of resources after operations, significantly improving operational capability in critical situations. Its adaptability to different scenarios increases its effectiveness and applicability.
Our team focuses on the development and continuous improvement of the WikiSana platform, both in web and app format. A special feature of the platform is the integration of an advanced search engine supported by artificial intelligence, which not only enables fast and precise information retrieval, but also significantly improves the user experience through its intelligent analysis and processing of search queries.
Office work in vehicle workshops is often time-consuming and complicated, which takes valuable time away from mechanics' core competencies.
With easyWerkstatt, the software of our customer EasySaaS, a solution was created that simplifies and automates paperwork. Our team was responsible for developing export and import functions, testing with customer data, troubleshooting and final documentation to increase software efficiency.
Companies need support in efficiently expanding their charging infrastructure for electric vehicles.
Our customized proposal includes a selection of suitable charging stations, necessary infrastructure modifications and a cost estimate to provide companies with a sound basis for decision-making.
When it comes to prototype development, short communication channels and expert developers play a decisive role.
Our support in designing the IT architecture and implementing the system enabled the rapid development of this prototype.
