CAMO's software products provide a range of tools for multivariate data analysis and experimental design for food and consumer product innovation, chemometric analysis, and process control. Designed for a range of expertise from the non-statistician to advanced statistical researchers, and backed by effective training and support, these software packages are powerful tools that help companies design winning products, optimize production, and develop new measurement methods.
A revolutionary, plug 'n' play product designed for end-users, the Unscrambler Online comes with unique features that enables effective on-line predictions and classifications
The Unscrambler® On-Line Predictor™ (OLUP) makes use of your Unscrambler models inside your own software using Dynamic Data Exchange (DDE) or function calls from a DLL. You can now execute predictions ON-LINE using sophisticated models. You don't only get the predictions, but you also get additional results to ensure that the predictions are correct.
The Unscrambler® On-Line Classifier™ (OLUC) is implemented into your application by using API function calls in your own software. OLUC allows you to assess quality on-line from multi-channel measurements or the combination of many different measurements.
The Product Optimizer is a cost-effective software that helps companies succeed in their Product development, Lifecycle Management, and Product & Process Optimization strategies. Designed and developed to meet the needs in the chemical, pharmaceutical, consumer, food products, sensory and market research fields, this easy-to-use, browser-based software bridges market research, product development and manufacturing. It helps companies reduce costs and develop a product that is ideally targeted to their market.
Quali-Sense is the best companion a panel leader can hope for. Using a set of statistical tests, Quali-Sense detects the personal strengths and weaknesses of each assessor in your panel. Discover the panelists’ sensitivity, reproducibility or cross-over issues for each attribute; check the global panel agreement.
Unscrambler Accessory Pack for Spectroscopy If you have very noisy data, Orthogonal Signal Correction (OSC) can help you generating improved models particularly with large amounts of variance not related to the property of interest. Models will have fewer components for easy interpretation.
Unscrambler Reference book Multivariate Data Analysis is an excellent self-study text for scientists, chemists and engineers of all disciplines- statisticians or non-statisticians - wishing to exploit the power of modern multivariate methods. Tutorial and exercises are using Unscrambler for illustration and it is based on real-world dataset and applications.