All-in-one solutions for real requirements
Machine learning,
predictive analytics
and optimization in
the Industry

Machine learning

Data-driven machine learning can be used in all areas of a company to derive correlations, make forecasts, identify influencing parameters and carry out optimizations.

Process optimization

Use the combination of artificial intelligence and optimization to optimize production processes in terms of product quality, process stability or resource consumption.

Predictive maintenance

You can use data-driven machine learning to forecast and schedule maintenance events, thereby reducing maintenance costs and avoiding unplanned downtime.

Data integration

We support you in the pre-processing and integration of your data, whether in the cloud or in your own IT infrastructure. We provide the results of machine learning in your own IT and process environment through interfaces.

Software tools

Our software for data analysis, automatic machine learning and optimization can be used for production processes and product development, among other things. We are also happy to develop customized solutions for you based on our modules.

Consulting & Services

Together we plan and develop the right solution for your requirements. We create total solutions that perfectly meet your needs for digitization through artificial intelligence in development and production.

Our experienced experts implement AI-based solutions for applications such as predictive quality, predictive maintenance, anomaly detection, production optimization and product development.

As part of Terra Quantum AG, we are now making the leap to quantum computing possible for classical applications as well, with Quantum Assisted Machine Learning and Optimization. Quantum is Now.

Together we plan and develop the right solution for your requirements. We create total solutions that perfectly meet your needs for digitization through artificial intelligence in development and production.

Our experienced experts implement AI-based solutions for applications such as predictive quality, predictive maintenance, anomaly detection, production optimization and product development.

As part of Terra Quantum AG, we are now making the leap to quantum computing possible for classical applications as well, with Quantum Assisted Machine Learning and Optimization. Quantum is Now.

About us

Part of

Industries

All applications where products or processes are to be optimized are suitable for our methods. Data from experiments, simulations or directly from the process can be used. Based on these data we optimize the product or process.

Automotive Consumer goods Chemical Industry

Process Industry Other Industries

Industries

All applications where products or processes are to be optimized are suitable for our methods. Data from experiments, simulations or directly from the process can be used. Based on these data we optimize the product or process.

Automotive Consumer goods Chemical Industry

Process Industry Other Industries

Software

We develop customized systems in addition to our proprietary software according to your individual requirements. For this purpose, we adapt our modules to your company-specific requirements and design the user interface according to your needs. In addition, we link our software to your internal database. The finished system is integrated into your internal IT environment and the existing production process.

Our software ClearVu Analytics (CVA) provides optimal support for all applications of predictive analytics, product- and process optimization. The flexibility of the system also support a direct integration into existing workflows and interfacing with production processes.

Our ClearVu Python package provide the core functionality of ClearVu Analytics in Python. This makes automated machine learning easily available to the Python user – fast, automated, powerful and without any extra training effort.

ClearVu Solution Spaces (CVSS) supports you in the design of systems and components in the automotive industry. There are many restrictions to comply with and CVSS provides optimal flexibility for the identification of design variants.

The Excel Add-In enables you in just a few clicks to use Automated Machine Learning directly in Excel to build forecasting models for your data sets. The resulting predictive model can be used as a cell function for predictions and the model can be analyzed and visualized further.

Software

We develop customized systems in addition to our proprietary software according to your individual requirements. For this purpose, we adapt our modules to your company-specific requirements and design the user interface according to your needs. In addition, we link our software to your internal database. The finished system is integrated into your internal IT environment and the existing production process.

Our software ClearVu Analytics (CVA) provides optimal support for all applications of predictive analytics, product- and process optimization. The flexibility of the system also support a direct integration into existing workflows and interfacing with production processes.

ClearVu Solution Spaces (CVSS) supports you in the design of systems and components in the automotive industry. There are many restrictions to comply with and CVSS provides optimal flexibility for the identification of design variants.

The Excel Add-In enables you in just a few clicks to use Automated Machine Learning directly in Excel to build forecasting models for your data sets. The resulting predictive model can be used as a cell function for predictions and the model can be analyzed and visualized further.

Our ClearVu Python package provide the core functionality of ClearVu Analytics in Python. This makes automated machine learning easily available to the Python user – fast, automated, powerful and without any extra training effort.

Extract from our list of reference

_
BMW Group

_
Mercedes-Benz AG

_
Dr. Ing. h.c. F.
Porsche AG

_
Honda Research
Institute Europe GmbH

_
Hyundai Motor Company

_
Beiersdorf AG

_
IOI Oleo GmbH

_
Chemetall GmbH

_
ThyssenKrupp
Industrial Solutions AG

_
Covestro AG

_
3M Deutschland GmbH

_
Johnson & Johnson
Germany

Testimonials

»Thanks to the AI-experts of divis, we are now going the crucial step for the optimization of our product. We are very impressed by the results. The cooperation was very pleasant and we experienced the team as highly competent and efficient. We are using this approach also for other products of IOI Oleochemicals and are looking forward to further cooperation. We recommend divis as a competent partner. Next to the professional competence of Thomas Bäck’s team, we are also impressed by their ability to focus on our technical requirements and to employ AI-methods specifically, just as required by the task.«

Thomas Kummer, COO, IOI Oleo GmbH

»As the leading expert in the application of evolutionary strategies and meta-models to hard industrial optimization problems, Prof. Bäck has always delivered highest quality results for BMW. We truly appreciate our collaboration and warmly recommend a collaboration with Prof. Bäck to any industrial partner who is in the need of solving tough optimization, modeling, and prediction problems.«

Markus Ganser, Manager Standardisierung, Konstruktion, Innovation, BMW Group

»Besides researching and developing the most suitable individual software components, successful multi-disciplinary optimization in an industrial context requires a system level analysis of the problem including issues of workflow, interoperability and resource sharing. Professor Bäck is world-wide one of the leading researchers in computational intelligence and his contributions to the development of new algorithms and methods cannot be overestimated. However, from our perspective, it is his unique analytical ability to amalgamate systems engineering with computational intelligence which makes him such a valuable partner for our institute.«

Prof. Dr. Bernhard Sendhoff, CEO, Honda Research Institute

»Guaranteeing highest quality standards of Ford vehicles requires a continuous evaluation of quality data from a variety of data sources. With divis GmbH, we have access to a competent partner in the areas of data warehousing, data analysis, and data mining. We would like to express our gratitude to Prof. Baeck and his team.«

Dr. Thomas Hochkirchen Statistical Methods, Central Quality, Ford Werke GmbH, Köln

»Our past experience limited our trials to include only familiar ingredients, and the lengthy process of attempting each combination had led us to declare the desired product infeasible after three months of research. However, with ClearVu Analytics, we satisfied all the technical requirements faster than with traditional processes, and now have a new product we will bring to the market.«

Dr. Thomas Hillemann, Leiter der Studienkoordination, Beiersdorf AG, Hamburg

»Through the support by the divis experts, we were able to develop a model which allows us to optimize the parameter settings of the coating process. Normally, this requires a large number of costly and time consuming laboratory experiments. The competent support provided by divis made it possible to reduce this effort significantly and make the whole process more efficient. The mathematical models derived by divis facilitate a better understanding of the impact of changes in the process control parameters on the resulting process behavior. This insight contributes significantly to process understanding as well as process robustness and quality at the client site.«

Dr. Andreas Treitl, Technical Director, Chemetall GmbH, Frankfurt

»Finally, we are now in possession of the tools and information needed to give us optimal solutions – this is exactly the kind of breakthrough we have been looking for to significantly change our business processes.«

Charles Harper, Production Control Manager, Air Liquide America, Houston, TX

»Former ThyssenKrupp Uhde GmbH in Dortmund, today called Business Unit Process Technologies, part of ThyssenKrupp Industrial Solutions AG (a world-wide operating engineering corporation for the planning and construction of chemical plants) is using divis’s data mining software by divis GmbH for data driven modeling tasks. The goal is for chemical processes to describe cause and effect patterns faster and better than before, and to evaluate the process parameter’s impact through sensitivity analysis. The results obtained so far clearly illustrate the capabilities of the special methods provided by divis, such that ThyssenKrupp Industrial Solutions is now considering additional projects.«

Dr. Helmut Gehrke, Head of Laboratory Department, R&D Division, ThyssenKrupp Industrial Solutions AG

News

2606, 2024

Standalone Automated Machine-learning software platform

divis intelligent solutions releases ClearVu Analytics, a standalone Automated Machine-learning software platform The ClearVu Analytics (CVA) software platform enables no-code automated machine learning for structured datasets. Using CVA, products can be [...]

2304, 2024

divis releases Automated Machine-Learning Excel Add-in

Introducing the ClearVu Analytics Excel Add-In. This tool enables no-code automated machine learning, offering a variety of approaches to model, optimize and design experiments for your datasets, all within the standard excel [...]

All news

Contact

How to contact us

Telephone

+49 231 97 00 340

E-Mail

contact@divis-gmbh.com

Address

Joseph-von-Fraunhofer-Straße 20,
44227 Dortmund, Germany