Food Safety Intelligence

Food Safety Intellegence


We are moving at speed into a period where winning food companies use machine and deep learning to proactively, assist management, predict operations and help guide the future decisions taken by companies.

The ability to predict a food safety non-conformance (NC) and understand correlations, at first when things happen and then once an algorithm is trained, before things happen, is where our Food Safety Intelligence service and expertise comes in!


What sets Food Safety Intelligence apart?

Food Safety Intelligence is a project based on our deep food safety understanding in collaboration with our Danish Analytics team focused on bringing world-class machine learning skill and Artificial Intelligence (AI) best practice to clients around the world.

In simple terms, we transform a business problem into a testable use case which can be modelled with data.

Over 80% of an Artificial Intelligence (AI) project is tied up in the non-trivial task of preparing data for Machine Learning (ML) Algorithms and defining the 'features' of the project or how the information relates to a challenge.

Our Food Safety Intelligence projects are aimed at slashing this number, thereby increasing the chance that models are good enough to deploy while continuously improving our vertically integrated service offering.

In simple terms, if the algorithm/s find a gap that is related to a competency or lack of one, we have the capability in-house to bridge this for companies. 

Additionally, a number of Artifical Intelligence and Machine Learning projects do not get very far or provide useful insight because of the lack of food safety subject matter expertise of data scientists.

At Food Safe we work closely with the data scientists and have an intimate understanding of food safety, risk control and the problematic areas within food companies, across a wide range of food sectors from farm to fork and global markets. This benefits our AI and machine learning projects and the key reason clients choose to work with us.


What is Artificial intelligence (AI)? 

“Artificial intelligence is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans”

The definition keeps changing and as machines get better and perform more tasks, these tasks are often reclassified as not requiring intelligence


What is a Machine Learning (ML) algorithm?

A Machine Learning algorithm is a set of program instructions used to build a model from “training data” in order to make predictions on “test data”.

While algorithms are not new, processing speeds of computers and the ability to identify where they can be put to use have improved considerably in the last decade.


Click for more information about the experience and background of our Lead Data scientist and Robotics Engineer on the project and Lead Food Safety Analyst on the project.


What are some examples of where our food safety intelligence can be used?

Our machine learning project can help:

  • Explain the reason why milk grading can go up and down sometimes for a farmer for no obviously apparent reason.
  • Explain what the key elements are, that relate to and impact Quality Control 1 (QC1) product within a processing environment when it comes maximising shelf life and quality that fetch the highest price.
  • Explain why fresh produce appears to suddenly deteriorate on a retail shelf, as predictability is critical to the fresh food sector.  
  • Provide better insight into why we have unexplained spikes in Sulphite Reducing Clostridiadia (SRCs) in raw milk, how this relates to the feed pattern and if savings can then be achieved by reducing the protein level of animal feed.


How do we ensure security by design in line with global best practice?



An Overview of our Machine Learning Projects and Timelines?



To register your interest or request a pilot project for your company, call us on 0800 003 097 or email This email address is being protected from spambots. You need JavaScript enabled to view it.