The key to any successful Industry 4.0 deployment is the seamless connectivity to industrial assets. Our edge devices and software provides a plug-and-play approach to digitising assets and supports industrial protocols such as OPC UA, Modbus, MQTT, Profinet, etc.
As you scale the number of users and assets, security becomes paramount. MAIO provides granular control over access permissions so that you can stay on top and control who can access what.
Data can be overwhelming but it holds the key to unlocking insights for your business. Looking at data in isolation might be frustrating. MAIO provides the tools for you to contextualise data across multiple different sources and visualise information in a meaningful format.
One size doesn’t fit all and importantly, your business needs are unique. MAIO provides the tools and infrastructure to develop and deploy bespoke smart applications tailored to your needs. Moreover, you can easily share applications with other users within your organisation.
Advance warnings 9 months before potential failures and £150k operational savings per turbine.
Predict 90% failures before they occur saving over £100k per composite part and reducing energy and material waste.
Automated defect detection reduced the man power required and therefore reduced the associated costs substantially. It also allowed staff to focus on other business critical tasks.
An automated product quality inspection system which has increased quality levels and saves £20m per plant annually.
£1M savings in a single quarter, and potentially achieving £6M savings within 18 months.
Computer vision based fault detection, automating the inspection process and increasing coverage by over 3 fold.
Detecting scrap in the single grain crystallisation casting process using regression modelling and advanced analytics.
Robotic fulfilment rig that demonstrates how robotics and machine learning can be used to help support staff.
Switched from the regular cutting tool replacement process at every 200 products to a monitored based system that extended the life of a cutting tool by up to 3 times.
Health Indicator application provides early alerts that equipment is degrading and likely to need maintenance.
Power usage effectiveness (PUE) is an important industry metric for measuring the energy efficiency of a data centre. Optimising this can provide huge cost savings of up to 20% in this case.
Condition-based tool replacement using data and machine learning to inform decisions. Leading to a reduction in cost and extending the life of the tools.
Smartia’s MAIO will enable AI at the edge, supporting privacy-preserving distributed learning. Use of AI for cyber security to detect attacks and improve the security of large scale IIoT systems.
CEO, National Composites Centre (NCC)
Commercial Controls Manager, Airedale by Modine
Production Control and Planning Manager, Rolls-Royce