aixioom corporate.autoAI

Do more with your data!

Imagine being able to use artificial intelligence (AI) with just one click, in an automated way, without any prior knowledge of data science, and to use the values contained in your data quickly and easily. Our solution analyses your data and selects the algorithm best fitting your data from a library and trains it automatically.

Our software aixioom corporate.autoAI offers you exactly that:

  •  Less manpower required
  •  Faster development of AI models
  •  Lower development costs
  •  Higher ROI
  •  Lower barriers to entry

Not sure how to get started? Contact us now.



Sample industries and use cases:

Anschrift Icon
Telefon Icon
E-Mail Icon
Aixioom Software Solutions GmbH
Katharinenweg 20, 63762 Großostheim
+49 (0) 6026 5013338

Frequently requested use cases

Bulletpoint Icon
Image analysis (e.g. QM)

The recognition of objects on images can be carried out with the help of image analysis. For example, cameras, X-ray or infrared devices can provide data in the form of images, which can be analysed for certain patterns, such as a scratch on a lens.

Bulletpoint Icon
Personalised purchase suggestions

In marketing, for the creation of personalised purchase suggestions, different target groups are identified within customer data and their preferences and inclinations are predicted.

Bulletpoint Icon
Predictive Maintenance

In the field of mechanical and plant engineering, predictive maintenance can be used to better predict machine failures and thus make it easier to plan maintenance and servicing.

Bulletpoint Icon
Root Cause Analysis

Root cause analysis can for example find the cause of an unexpected error in production based on machine data.

Stack of technology

Application Platform

Accelerate AI application development for cloud, on-premise, or hybrid infrastructures.

aixioom corporate.autoAI

Automated creation and deployment of AI models.

Database layer

Collection and aggregation of all relevant data and the values it contains, from the lower layer.

Data generation

The data created in this layer can be in the form of structured data (e.g. tables), unstructured data (e.g. communication) or semi-structured data and originate from processes (e.g. in ERP or CRM systems), e-mails, images or texts.

stack of technology