From a company in Ireland that is closely associated with a company north of London, earlier work was from a drop technology device, analyzing the liquid drop with laser light. There was a European project on pollution and water quality in rivers and lakes. There was a KTP project with a solar energy company. Now that device has developed to include liquids and also powders, pills and pastes. The data obtained is as if from a Raman spectrometer, so that such data spectra are to be managed very well here. Domains of application include agricultural food and drink sources, medical patient analysis, and a recently developed domain of application is forensics. Most data sources can start with Raman spectroscopy, and the objectives can be both what is examined and also the need to relate what is examined to other standards and required properties. Therefore the analysis can be linked to a cloud-based repository that is to contain standards in the domain of agriculture. One data source used is oil analysis. A further domain of application is forensics. A data source obtained has been for explosive threat detection. Other data sources will be obtained. It can be stated that the start of this work is preprocessing for Raman spectroscopy and then Artificial Intelligence in the both direct assessment and also comparative assessment. A both novel and unique ability now it the implementation developments using Python. The methodology used here will be an excellent basis for discussion with the companies mentioned above. With the device mentioned above, there are major advantages for applications in many domains and that is to include also the analytics in Python that can be named as innovative and effective and beneficial and important Artificial Intelligence here in many domains of application. 1