Predict the likelihood of occurrence of a safety or quality issue in a manufacturing environment.
We use the latest genomic techniques, machine learning and fundamental microbiological growth information to determine the conditions compatible for pathogen or spoiler presence or growth.
Combining the strengths of fundamental microbiology, genomics and machine learning enables the prediction of the likelihood of occurrence of a safety or quality issue. This gives a far greater degree of accuracy and detail than possible from using current traditional microbiological techniques while also benefiting from the insights of domain experts and world-leading academics.
Initial site screening and service contract
Swab-plan tailored to your site, staff training, organisation of kits and shipment
Login to secure site and prepare the process flow map
Take swabs and record metadata
Kit is collected and shipped
Anonymous DNA extraction and sequencing in 3rd party lab
Converting raw sequence data into meaningful insights
Results available for viewing on a secure site