Working with Sainsbury’s on the microbial control in ready to eat food challenge, Ascalia will use high-tech cameras and artificial intelligence (AI) to ensure food safety from microbes and rot, in a way that is non-invasive and non-contaminating – creating a risk-free experience to shoppers.

Working with Babcock International Group on the dIgital shipbuilding challenge, CAE Tech will use technologies from the gaming and music sectors to support shipbuilding engineers to collaborate on design in real-time.

DIEM Innovations is working with BAE Systems on the dynamic workflow management challenge, using AI solutions and SCALE+, a systems dynamic model, to provide actionable supply chain insights, on where wastage occurs to improve sustainability.

Working with Northumbrian Water on the sewer blockages smart Porcupine challenge, Innvotek Ltd will develop a low-cost unmanned module to tackle sewer blockages using AI.

Working with Babcock International Group on the warrior base overhaul challenge, JetSoft Ltd aims to develop a solution that will utilise existing equipment and combined data output to create an automatic 3D dataset – easing the hull inspection process.

Working with BAE Systems on the scalable artificial intelligence for visual inspection challenge, using a novel machine learning technique, the Machine intelligence Ltd prototype will use machine learning to identify defects in manufacturing, improve the quality of the end product, reduce waste and save money.

Working with O’Neills Irish International Sports Company Limited on the product customisation – intelligent verification challenge, this digital manufacturing system from Metis Automation will deliver a digital manufacturing system that uses customer order data and converts this data into simple, easy to follow manufacturing steps and checks.

Pentiot will be working with O'Neills on the automation challenge: Using AI guided robotics to automatically feed raw material into sewing equipment to replace seamstress or seamster with a seambot to help O'Neills evolve with confidence from an Industry 2.0 manufacturing facility and bring them on the path to Industry 4.0 delivering a solution to address skills shortage, and deliver sustainability.

Riscon solutions Ltd in partnership with Inventia UK are working with Northumbrian Water on the water network monitoring and real time challenge. The ITERATION project delivers a cloud-enabled, remote water quality monitoring solution.

Working with Sainsbury’s on the increasing shelf life and sell through of products while reducing waste challenge using an AI-based decision-making system, Singular Intelligence Ltd will develop AI-based decision-making to develop a predictive shelf-life model for the supply chain, along with an automated, centralised optimal control system.

A partnership between Total Control Pro, ElegantIT and New Intelligence, this project will work with Safran Landing Systems on the adaptive scheduling and performance monitoring challenge. This solution will deliver a data-driven planning scheduling and resource optimisation solution to tackle the challenges of complex planning and resource management.

Working with GAF on the asphalt material characterisation challenge, Volatile AI is adapting existing chemical and olfactory testing instruments to deliver non-invasive, batch-on-batch asphalt profiling, without any additional specialist lab equipment.

Zeta Motion Ltd in collaboration Dakota Systems Inc. will work with GAF on the machine vision systems for product conformance and machine condition challenge. Using cutting-edge AI and modern sensor technologies this product conformance solution is fast, accurate, affordable, and scalable.

Zizo Software will be working with Safran Landing Systems on the implementation of SPC on all test rigs in the assembly shop challenge. By building a portable edge industrial internet of things (IIoT) analysis platform, using data analysis software, this solution provides big data capability. It will create a repository and platform to manage data from across teams and across functions.