Industrial Intelligence Solutions
Whether you are an operator, an engineer, a manager or a data scientist, MAIO will provide you with the tools you need to access the data and insights that matter to you, all within one convenient and intuitive framework.
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Connect and manage industrial assets seamlessly
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.
Keep your data and devices secure
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.
Visualise and analyse your data
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.
Develop and deploy smart applications to suit your needs
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.
Operationalise AI through an integrated Machine Learning infrastructure
Artificial Intelligence (AI) can make a difference in your business like no other but it might be difficult to figure out where to start. MAIO comes with an integrated Machine Learning (ML) infrastructure that makes it easy to deploy and operationalise AI algorithms, and use those algorithms to drive insights as well build AI powered smart applications.
Our Projects
Helping industrial companies harness the power of AI. Our consultative approach to automating and enhancing industrial operations allows us to deploy customised AI solutions that deliver tangible improvements to production efficiency, machine uptime, maintenance scheduling and quality control applications.
Predictive Maintenance
Advance warnings 9 months before potential failures and £150k operational savings per turbine.
Predictive Maintenance
Predictive Failure Detection
Predict 90% failures before they occur saving over £100k per composite part and reducing energy and material waste.
Predictive Failure Detection
Automated Defect Detection
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.
Automated Defect Detection
Automated Quality Inspection
An automated product quality inspection system which has increased quality levels and saves £20m per plant annually.
Automated Quality Inspection
Inventory Optimisation
£1M savings in a single quarter, and potentially achieving £6M savings within 18 months.
Inventory Optimisation
Fault Detection
Computer vision based fault detection, automating the inspection process and increasing coverage by over 3 fold.
Fault Detection
Scrap Reduction
Detecting scrap in the single grain crystallisation casting process using regression modelling and advanced analytics.
Scrap Reduction
Smart Robotics Object Detection
Robotic fulfilment rig that demonstrates how robotics and machine learning can be used to help support staff.
Smart Robotics Object Detection
Ultra Precision Manufacturing
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.
Ultra Precision Manufacturing
Preventive Maintenance Support
Health Indicator application provides early alerts that equipment is degrading and likely to need maintenance.
Preventive Maintenance Support
Energy Usage Optimisation
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.
Energy Usage Optimisation
Tool Life Optimisation
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.
Tool Life Optimisation
AI-based Security at the Edge
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.
AI-based Security at the Edge
Want to learn more?
Find out how we can turn your data into business outcomes
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Don't just take our word for it...
Richard Oldfield
CEO, National Composites Centre (NCC)
Jon Martinez
Commercial Controls Manager, Airedale by Modine
Production Control and Planning Manager, Rolls-Royce
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