Development and innovation

A central focus of the AI Progress 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.

Intuitive label editor for AI applications

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

AI anomaly detection with limited data sets

Research on AI anomaly detection with limited data sets aims to develop and test efficient methods for identifying anomalies in various industries despite data scarcity.

AI modules for industrial software solutions

AI building blocks for industrial software solutions AI Explorer Initial situation EVO develops software for the manufacturing industry with a focus on SMEs and mid-sized companies. EVO's software spectrum includes the building blocks for the end-to-end digitalization of the...

AI-supported evaluation of 3D point clouds of high-voltage switchgear

The quality of the scanned point clouds is crucial for the creation of digital twins for high-voltage switchgear. By using AI methods, the point clouds can be evaluated automatically.

AI industrialization support for galvanic processes

In the introduction of a new Cr(III)-based electroplating hard chrome plating process, machine learning is used to analyse complex process relationships and accelerate industrialization. The aim is to increase the efficiency and quality of the process by accurately predicting the electrolyte composition.

AI solutions in productive use

The initiative offers companies support in the sustainable integration of AI, promotes the exchange of experience and develops concrete solutions for optimizing operational processes with the help of AI technologies.

AI potential in automation in the service sector

Workshops are used to assess the potential of AI-based services in the service sector. A data map and priority list help to plan the implementation of intelligent automation solutions.

AI potential

The AI Progress Center develops solutions to optimize production at Ansmann AG, including predicting production times and detecting installation errors in battery cells.

AI use cases for the h-aero® platform

The AI Explorer identifies and prioritizes promising AI use cases for the h-aero® platform in order to make optimal use of resources and promote rapid implementation.

Design of special tools with AI

By building on the extensive design knowledge already available, AI can reduce the number of prototypes and tests required and thus also cut costs.