Leading Partners in Industry

100% Reliable Service and Support +
Latest Technology - Worldwide.


We always follow the most cost-effective way to realize your industrial AI solution –
from the idea to the finished software!
Icon ProPredictive Maintenance

Whether you are a machine manufacturer looking for a customized solution or a manufacturing company with a wide range of machinery - benefit from our broad experience!

Icon ProPredictive Quality

Predictive quality or process optimization is rarely plug & play. With us, you build on existing technology modules and implement operational solutions reliably and quickly.

Icon ProAI Image Processing

When evaluating defects in quality inspection, it is easy to lose track of existing possible solutions. Understanding (the requirements) of the use case is crucial!

Icon ProPrediction & Anomaly Detection

You already monitor parameters or states in your use-case, but also want to forecast values and detect anomalies? We integrate these functionalities anywhere.

How to Start?

In Three Systematic Steps to Your Industrial AI Solution
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1) Conception & Specification

We properly evaluate your idea and define requirements.

2) Proof of Concept

We agily and rapidly work towards a functional prototype.

3) Operational Integration

We reliably and sustainably integrate solutions into your infrastructure.


Reference Projects

Excerpt of already realized solutions for our industry customers
  • GOAL: In an existing quality monitoring software in series production, quality forecasts and anomaly detection were to be integrated.

  • APPROACH: The ready-to-use IconPro TSAF module for automated time series analysis and forecasting was integrated seamlessly.

  • RESULT: Quality managers automatically get notified about critical changes and get a quality forecast to react early to ensure process stablity.

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  • GOAL: Reproduce the finished surface of a given master part for a series of new parts with an automated blasting machine.

  • APPROACH: A data-driven process optimization logic based on the IconPro ARES software was trained and integrated into operator dashboards.

  • RESULT: Operators scan the surface of the master part and get a recommendation for the process parameters based on the measurement results.

  • GOAL: In the course of quality checks with white light scanners, welding points were to be found and checked automatically in-process.

  • APPROACH: IconPro AI image processing algorithms were trained with historical image data and integrated into the customer’s measurement software.

  • RESULT: Instead of manually marking image spots with welding points for further automated evaluation, the weldings points are found automatically.

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Our team will be happy to help you. Get in touch!



What is Software Engineering?

Software product development is the focus of this area of engineering. It functions according to a set of standards, guidelines, and procedures that have been carefully developed through time and modified as software and technology have advanced.

The goal of software engineering is to improve the quality, timeliness, and cost effectiveness of software development while also providing the guarantee of structured testing and engineer certification. Software engineering does this by applying the structured, disciplined approach to programming used in engineering to the process of developing software.


What is AI Software?

A computer program competent of intelligent behavior including learning, thinking, and problem-solving is known as artificial intelligence software. It works out a variety of operations that ordinarily need human intellect, from the straightforward duty of keeping time to the complicated process of evaluating millions of data sets.

Across all industries, from manufacturing and logistics to retail and marketing, AI software improves corporate operations and operational efficiency.

Artificial intelligence is becoming key to all commercial and operational procedures using large amounts of data, particularly in the manufacturing, autonomous vehicles, and mobile apps industries.


How does AI software work?

AI integrates large amounts of data with extraordinary speed, economy, and precision using its intelligent algorithms, or mathematical instructions for computations and automated thinking. It enables the program to gain knowledge from data, spot characteristics and patterns, and forecast upcoming trends.

The following are included in the broad field of AI:

Neural network: It is a network of units that resembles a neuron, processing and transmitting information from one unit to another to create meaning.

  • machine learning: It automates analytical data modeling for hidden insights and trains robots to learn.
  • Deep learning: It makes use of cutting-edge computation to identify patterns and identify trends in massive volumes of data.
  • Machine vision: It analyses, analyzes, and interprets recorded movies and pictures by using deep learning to spot complicated data patterns.
  • Natural language processing: Humans are able to connect and communicate with the computer using everyday speech thanks to its recognition, understanding, and generation of human language.

AI software analyses data to improve interactions with people, offer assistance with certain activities, and help users make rapid judgments.



  • planning and resource consumption that is more sustainable and efficient
  • Automating commercial operations using adaptive robots
  • Gradually improving production standards
  • prediction of failures in predictive maintenance
  • reduced machine downtime
  • increased efficiency
  • lower costs for maintenance and development, for example
  • increased product quality
  • new products and business models


Industrial AI software common use-cases

Data-driven businesses including manufacturing, medicine, logistics, and telecommunications will benefit greatly from the integration of AI with the Internet of Things (IoT), which gathers enormous volumes of data. In order to maintain the security and reliability of business data while coping with heavy data traffic on enterprise networks, AI is also essential.

The most common applications of AI software in the manufacturing sector include quality control, equipment maintenance and monitoring,  supply chain (warehouse management and logistics), demand forecasting and stock control, use of manufacturing robots, and customer management.

Machines can now learn, interpret information, make decisions, and act in the same ways that people do thanks to computing. For the advantage of end users, machine learning and deep learning improve operations, functionality, and procedures.