With over 20 years
foundation of analytical experience accrued in academic and industrial labs, Our team is responsible for the delivery of diverse projects, from preparation and characterization of inorganics, supramolecular structures, nanostructures, and (biodegradable) polymers to investigative analytics of natural products (e.g., paper, polymers, foodstuffs).
Tea pot
We can assist
in white space analysis across open and patent literature relevant to your analytical challenges. It can also include text mining and a development of classification tools for new documents. Furthermore, we can provide advice on robust data collection protocols (Design of Experiments, Measurement System Analysis, Control Charts, etc.) to deliver high-quality analytical data sooner and at a lower cost.
Contour plot of reduced cubic model, etching data, “mixerp” library
We offer online solutions
tailored for any kind of calculations and visualization (interactive or static)
Basic statistics
Principal Components Analysis
Classification Algorithms
Regression Algorithms
We are experienced
in the pre-processing of analytical data to target the most relevant information from chemical assays. We can extract latent information from your high-dimensional datasets so the customer can use it across organization for development, production or quality control (Chemometrics).
From raw data…
As received and pre-processed Near Infra-Red of wheat
… to data modelling
Ridge regression analysis results for Savitzky-Golay smoothing