Exzellente Technik
Verlässliche Werte
Research and development
Our passion at Joomo GmbH is to develop pioneering software solutions that drive innovation and provide our customers with tangible benefits such as increased efficiency, improved data analysis, reduced operating costs and a faster time to market for their products.
A particular focus of our work is both basic research and prototype development. Our research enables us to identify the latest technological trends and translate them into practical applications.
By developing prototypes, our customers can quickly test and adapt new ideas.
This combination of basic research and prototyping allows companies to obtain early feedback, minimize risks and accelerate the time to market for their products.
Our approaches help customers to optimize their business processes, implement innovative solutions faster and position themselves successfully in a highly competitive market.
Current project
AI-NIS
Artificial Intelligence Network Immune System
start: 04/2024
The project aims to develop an intelligent system for detecting and defending against network attacks.
The focus is on analyzing network data streams using context-sensitive embeddings in order to automatically detect anomalies and attacks.
The system is designed to be self-learning, identify suspicious activities and react autonomously if necessary, for example by sending notifications or blocking IP addresses. A key task is the classification of access logs in order to recognize patterns and take effective countermeasures.
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Project progress
Team member
Successfully completed projects
HMI-ED
Human Management Interface – Error Detecting
start: 01/2024
Market launch: 09/2024
Creation of an AI demonstrator for error detection in infotainment software development: automation to increase efficiency, precise training for reliable error detection & ticket generation.
The HMI-ED project has successfully developed and implemented an AI-based test system for the automatic detection of software errors in HMI systems.
The AI shortened the ticket generation time by 70% and reduced queries by 30%.
The manual effort and associated costs fell by 60%.
The error detection rate is over 95%, and the high scalability enables efficient processing even with high ticket volumes. All targets were achieved in full.
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Error detection rate
Reduction of queries
Shortening the ticket creation time
Team members
Cloud-Builder
start: 2020
Market launch: 2021
The development of a novel IT platform that provides reusable software architectures and can deliver various cloud computing solutions as SaaS.
CloudBuilder offers an all-in-one deployment tool that enables software developers worldwide to accelerate development processes by up to 80% through a user-friendly interface (GUI), ModelBuilder, ASL artifact TargetBuild and Testbar.
The focus is on integration options for migrations, innovative workloads as well as solution and control services
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Accelerated development process
RTM
Remote-Targeting-Mobile
Development of a mobile test environment for infotainment, navigation and similar systems
Joomo GmbH has developed an innovative, market-ready mobile test system that meets the specific requirements of the automotive industry.
By integrating the test systems into vehicles and controlling them via a central software platform that customers can access online, an efficient and flexible test solution was created that is operated as a SaaS (Software as a Service) model.
Mobile test platforms in use
Approval – Checker
start: 2021
Market launch: 2021
Appropriate and automated software testing as a control system for software development in the automotive infotainment sector.
The individual software modules are subjected to a complete and automated check for formal correctness prior to vehicle integration.
Design measures are also included to detect errors in software development as early as possible and avoid errors occurring later in the vehicle field.
Each software function is to be checked 100% for formal correctness and for interaction with other functions and version differences; version differences are filed by the corresponding commits.
An associated release system is to be developed as a control instrument.
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