Applications for advanced AI-automated sample composition analysis

Many powerful techniques are routinely used in many fields to analyse the composition of samples, or to check for contaminants.

Chromatography, spectrometry, spectroscopy, x-ray diffraction, calorimetry and similar techniques are very powerful at probing samples to deliver its composition at basic substance, compound, molecular or atomic level.

Whilst engineering has created machines able to probe the samples quickly and efficiently, the analysis of the results still generally relies partially or completely on human input.

An example we have worked on is to check if food samples contain any toxic or bad substances for food-chain manufacture safety using chromatography.

Our technology is effectively 100% reliable emulating the human evaluation process and delivering explanations of its decisions.

We imagine there are many opportunities to revolutionise many industries with this technology to both improve existing test facilities and grow to new sectors where previously the cost or timescale of needing human input made its use commercially prohibitive. However we are a research lab not a sales organisation, so would like to partner with companies who know the area and can create customer solutions from our raw technology. Through open-innovation and close collaboration, together we can bring this to market.