Software for automatic machine learning, predictive analytics and optimization
Software for automatic
machine learning,
predictive analytics and
optimization
With ClearVu Analytics, you can develop and optimize products faster, analyze process data, and open up new application areas such as quality and maintenance optimization.
Our software enables automatic creation of predictive models, cross-validation and hyperparameter optimization of these models, and automatic selection and deployment of the best model to all users.
This makes it easy for you to analyze data and extract predictive models that you can use for optimization and forecasting.
With ClearVu Analytics, you can develop and optimize products faster, analyze process data, and open up new application areas such as quality and maintenance optimization.
Our software enables automatic creation of predictive models, cross-validation and hyperparameter optimization of these models, and automatic selection and deployment of the best model to all users.
This makes it easy for you to analyze data and extract predictive models that you can use for optimization and forecasting.
Benefits & features
Benefits & features
The main modules of CVA
ClearVu Analytics has a comfortable graphical user interface that allows you to use all functions in an intuitive way and to visualize and analyze the data and models. Due to the flexible design of the software, all functions can also be used in command line mode and thus be integrated into your own process chains.
The main modules of CVA
ClearVu Analytics has a comfortable graphical user interface that allows you to use all functions in an intuitive way and to visualize and analyze the data and models. Due to the flexible design of the software, all functions can also be used in command line mode and thus be integrated into your own process chains.
All information about CVA
ClearVu Analytics analyzes data and creates models that clearly identify the cause-and-effect relationships hidden in the data.
Interactive sensitivity analysis can be used to determine in quasi-real time what effect a change of parameter settings will have on the end result. This can be used in product development, for example, to run through various realistic process options and arrive at decisions more quickly. It is also possible to consider conflicting goals (e.g. maximum throughput with minimum energy consumption). In this case, the program proposes several compromises, marks the most favorable one and shows which advantages and disadvantages the respective compromises entail. The model is created automatically by CVA, so that the user does not need any knowledge of statistical modeling.
All information about CVA
ClearVu Analytics analyzes data and creates models that clearly identify the cause-and-effect relationships hidden in the data.
Interactive sensitivity analysis can be used to determine in quasi-real time what effect a change of parameter settings will have on the end result. This can be used in product development, for example, to run through various realistic process options and arrive at decisions more quickly. It is also possible to consider conflicting goals (e.g. maximum throughput with minimum energy consumption). In this case, the program proposes several compromises, marks the most favorable one and shows which advantages and disadvantages the respective compromises entail. The model is created automatically by CVA, so that the user does not need any knowledge of statistical modeling.
Case study
Case study
IOI Oleo GmbH, Process optimization, Witten, Germany
Thomas Kummer, COO
»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.«
3M Germany GmbH, Senior Specialist Quality & Development, Neuss
Dipl.-Phys. Reiner Hackler & Dr.-Ing. Mario Horvat
“Finally, we would like to state that ClearVu Analytics occupies a very valuable place in our portfolio of external software tools to enable engineers and teams to handle much more complex tasks even with high data volumes solution-oriented and efficiently, without the need for more specialized programming skills such as in R or Python. This increases our flexibility and enables us to successfully explore and exploit the existing improvement potentials.”
Request software
Request software
Other software
Other software
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.
Contact
How to contact us
Telephone
+49 231 97 00 340
Address
Joseph-von-Fraunhofer-Straße 20,
44227 Dortmund, Germany
Contact
How to contact us
Telephone
+49 231 97 00 340
Address
Joseph-von-Fraunhofer-Straße 20,
44227 Dortmund, Germany