Quick Check

A central focus of the AI Innovation Center is direct cooperation with industrial companies: Feasibility studies (Quick Checks) and projects to develop initial prototypes (Exploring Projects) of AI applications. In addition, consortium projects and innovation networks are aimed at cross-company exchange.

Recognition and evaluation of future theses

Reliable early indicators emerge from large data streams: Algorithms discover new topic clusters, check hypotheses with contextual understanding and provide compact situational pictures for better planning, innovation and decisive management.

Vehicle part segmentation for improved damage detection

AI-based vehicle part segmentation improves damage detection by precisely assigning defects to vehicle parts, reducing misclassifications and estimating repair costs more accurately.

FlexCab - flexible, intelligent cable assembly

A flexible, intelligent robot system for the automated assembly of high- and low-voltage connectors is being developed to reduce manual labor and increase efficiency.

FOCUS Bikes Service Assist

Teaching faults via a single sensor on the bike offers the opportunity to increase the quality of bikes, service and safety.

Extraction and utilization of facts from medical publications

An AI-supported system for extracting, summarizing and translating medical publications is being developed to make specialist knowledge more efficiently accessible and to cope with the flood of information.

High speed picking

The analysis of the patient journey at Klinikum Stuttgart identifies AI applications to optimize care, increase employee satisfaction and improve economic and ecological criteria.

Information extraction from medical publications

It was evaluated how the preparation of marketing authorization dossiers (core dossiers) can be supported by the extraction of information from medical studies.

Instant calculation of CNC components

Algorithms learn from existing production data and CAD geometries, estimate component complexity in real time, improve cost transparency, automate costing and relieve teams of manual assessments and time-consuming customer communication on a day-to-day basis.

Intuitive label editor for AI applications

The AI Innovation Center's intuitive label editor optimizes the labeling process through structured workflows and automation features, increasing efficiency and ease of use.

AI-supported sales forecast

An AI-supported sales forecast analyzes historical sales data and external factors to predict future sales figures more accurately and enable data-based decisions.