Streamlined Reporting
Save valuable time by exporting results directly to MS Office (Word and PowerPoint) using customizable templates for automated, consistent reports.
The smart data analytics and Design of Experiments (DoE) software for engineers.
Cornerstone software is an easy-to-use tool for engineers to create Experimental Designs, offering a user-friendly interface and a simpler, yet powerful data analysis tool for users.
Dealing with large datasets requires substantial computing power to ensure interactive and efficient work. Cornerstone enables you to share your insights with your team members in interactive visualizations so that all gain a common view on the data.
Cornerstone software is a flexible tool, with a highly interactive user interface. It is applicable in multiple disciplines and industries such as manufacturing, research, development, quality assurance, and education.
Cornerstone facilitates efficient experiment design, data exploration, dependency analysis, and actionable insight discovery—all immediately accessible, interactive, and without the need for programming
Cornerstone software is a flexible tool, with a highly interactive user interface. It is applicable in multiple disciplines and industries such as manufacturing, research, development, quality assurance, and education.
Cornerstone facilitates efficient experiment design, data exploration, dependency analysis, and actionable insight discovery—all immediately accessible, interactive, and without the need for programming
Gain deeper insights with minimal effort and save time using Cornerstone powerful Design of Experiments (DoE), advanced data analytics, and intuitive reporting tools.
Save valuable time by exporting results directly to MS Office (Word and PowerPoint) using customizable templates for automated, consistent reports.
Use statistically optimized DoE plans to reduce the number of experiments while achieving faster and more reliable results.
Plan, collect, and analyze data in a structured way to improve experiment efficiency and maintain data integrity across projects.
Automatically capture and reuse analysis workflows to accelerate future projects and maintain standardization across teams.
Quickly detect correlations, identify usable process models, and perform root-cause analysis with powerful visual data exploration tools.
Benefit from an engineer-oriented environment with guided use cases that simplify statistical analysis and speed up result interpretation.
Cornerstone enables you to quickly draw the right conclusions from a huge flood of data. You can assess data better and make the right decision faster.
Users can access multiple data sources such as MS Excel, CSV, ODBC and Parquet (planned). These files can be imported into a single data set to support merging and joint analysis.
Users can make their analysis reusable with Workmaps. A Workmap stores all the individual analysis steps, data and derived data, subsets, tables, graphs, analyses objects, and reports.
Users can apply Design of Experiments (DoE) for systematical experimentation, perform technical data analyses, as well as model and optimize processes. With Cornerstone Extension Language (CEL), users can also build custom applications, offering flexibility and adaptability.
Providing the necessary statistical methods compact and clear

Design of Experiments (DoE) is a structured approach to planning experiments to efficiently and effectively investigate the relationship between factors and the outcomes of interest.
DoE in Cornerstone supports advanced techniques like constraints in design space, inclusion runs, accessible candidate set for algorithmic designs, and methods to perform robust (Taguchi) or mixture designs.
Helps you to extract the full potential of your data with interactive graphical tools like brushing and labeling. Cornerstone offers various basic and advanced graph types to adequately visualize your data.
Is a statistical technique used to model the relationships between your dependent (responses) and independent variables (predictors). You can create and refine regression models that describe one or multiple responses as a function of one or more scaled or categorical predictors.
It supports arbitrary high order expansion, stepwise regression, Box-Cox transformation, and residual analysis in an unsurpassed compact workflow.
Stands for Multivariate Analysis of Variance. It offers analysis techniques to compare groups based on multivariate data. You can investigate whether the groups are different and how the differences are determined by the analyzed variables. MANOVA can also be used for discriminant analysis
Is used to simplify and interpret complex datasets. It is particularly useful for reducing the dimensionality of data while retaining most of the variation present in the original dataset.
It can also be combined with Regression Analysis in case of correlated predictors that otherwise cannot be adequately analyzed (Regression on principal components).
Helps decision-makers understand the implications of uncertainty in models and make more informed decisions based on the sensitivity of outcomes (responses) to different factors (predictors).
In Cornerstone, the Sensitivity Analysis can be combined with Regression to enhance the interpretability, robustness, and reliability of the regression model.
Are numerical values that summarize and describe the main features of a dataset. They include measures of central tendency (such as mean, median, and mode), measures of dispersion (such as range, variance, and standard deviation), and other descriptive metrics (such as quartiles and percentiles).
Test statistics are used to determine whether to reject the null hypothesis during hypothesis testing. Cornerstone supports many different situations to apply hypothesis tests. Besides, the results are informative and don’t require further interpretation of the values.
Involves selecting a probability distribution that best describes the variability in the data generated by a process. Distribution Fitting helps in understanding the underlying probability distribution of process data, which is crucial for process control, prediction, and decision-making.Process Capability analysis assesses the ability of a process to produce output within specified tolerance limits.
By combining distribution fitting with process capability analysis, you can better understand the variability in your processes and assess the ability to meet specifications, thereby facilitating continuous improvement efforts and enhancing overall quality performance.
Are graphical tools used in Statistical Process Control (SPC) to monitor and analyze the stability and performance of a process over time. As an integral component of the Six Sigma methodology, control charts play a vital role in overseeing and enhancing processes.
By utilizing these concepts of process improvement, the approach intentionally targets the tasks of engineers to ensure effective implementation and sustained progress
Grants access to the R environment, famous for statistical computing and graphics. This synergy empowers users to leverage cutting-edge statistical methods alongside powerful visualizations (brushing) for enhanced data analysis. Explore the R integration in Cornerstone, here.
We speak your language
Tailor Cornerstone to meet your specific needs. With Cornerstone Extension Language (CEL), you can easily create applications, new dialogs, menus, and other analysis tools.
The open architecture that is coupled with CEL makes it possible for the software to meet almost any specific requirements your organization may have.
Common Engineering Data Analytics
The Cornerstone add-on CEDA provides advanced functionalities for automatic data analysis. Thanks to its concept of dynamic Workmaps, CEDA allows you to automatically perform multiple actions on different data columns, apply self-defined rules, and re-run scripts on different data sets.
Cornerstone’s CEDA uses an advanced data format, which can be enriched with metadata, and provides additional statistical analysis tools such as Cp / Cpk analyses, signature plots, and much more.
Dealing with large datasets requires substantial computing power to ensure interactive and efficient work. Cornerstone enables you to share your insights with your team members in interactive visualizations so that all gain a common view on the data.
Cornerstone software is an easy-to-use tool for engineers to create Experimental Designs, offering a user-friendly interface and a simpler, yet powerful data analysis tool for users.
In this course, you will learn how to use statistical Design of Experiments (DoE) to create process models efficiently. By reducing the number of experiments required, DoE helps you develop new products and optimize existing processes. You will build confidence in applying these methods through practical examples and hands-on learning.
In this course, you will learn how to use statistical Design of Experiments (DoE) to create process models efficiently. By reducing the number of experiments required, DoE helps you develop new products and optimize existing processes. You will build confidence in applying these methods through practical examples and hands-on learning.
By integrating Cornerstone with camLine’s flagship product LineWorks SPACE, you establish a powerful ecosystem for effective and detailed analyses of process and quality data for your production.
Our team is ready to deliver tailored MES solutions that streamline your production, improve product quality, and maximize efficiency across your operations. Tap into camLine’s decades of expertise in digital transformation to overcome your manufacturing challenges.