The industrial intelligence platform
Whether you are an operator, an engineer, a data scientist or a manager, 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.
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.
SmartAFP for Composite Manufacturing
Automated Fibre Placement (AFP) is a composite manufacturing process through which non-metallic fibres (e.g. carbon fibre) are laid onto tooling mandrels/moulds by application of heat and pressure. As part of the SmartAFP program, which is a InnovateUK funded project, we are developing a generalised infrastructure and process management tool that will generalise across AFP machines of different makes and reduce the need for bespoke handling. This will help scale the AFP digitisation process and make it easily accessible to a wider customer base.
Remote Monitoring for Industrial Chillers
Airedale is the UK’s leading manufacturer of industrial air conditioners. They are also a worldwide distributor of cooling, heating and HVAC systems. They have over 50,000+ live installations of chillers and 250+ live installations of larger systems (e.g. data centres, building management systems, smart buildings, etc.). As a trusted partner, we are working with Airedale to digitise their product lines. We are also looking at connecting their assets across globally distributed customer sites, improving operational efficiencies through AI enabled services such as predictive maintenance, intelligent monitoring and remote surveillance.
Industry 4.0 for SMEs
The MTC were creating IIoT testbeds to showcase I4.0 technologies. They selected MAIO as one of the technology providers. We worked with the MTC to get requirements and information on their target system (controller type, protocols, tags, data capture rates). We also carried out integration at the MTC, connecting the gateway to their controller and to their MAIO cloud deployment.
Smart Robotics for Retail
The Smart Robotics for Retail demonstrator is part of an InnovateUK funded project exploring the use of advanced technologies like robotics and AI for retail applications. We are using our MAIO platform to create a proof-of-concept fulfilment centre demonstrating how pairing readily available, off the shelf systems (robotics, vision) with the connectivity and AI capabilities of MAIO can produce flexible and cost effective solutions for real world problems in the retail world.
We partner with our customers to take them on a journey towards autonomous and efficient industrial operations. To achieve that, we are building MAIO to tackle challenges across 6 key areas as illustrated below. To know more about upcoming features, please
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