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Contract

24 Sep 2025 07:00

RNS Number : 5311A
IntelliAM AI PLC
24 September 2025
 

24 September 2025

 

IntelliAM AI plc

 

Co-Development Partnership Agreement with Global Manufacturer

IntelliAM AI plc (AQSE: INT), the software company leveraging the power of AI and machine learning in the manufacturing industry, announces that it has signed a Co-Development Partnership Agreement with a global engineering manufacturer. The strategic intent of the partnership is to forge a commercially significant integration of advanced artificial intelligence and industry-leading lubrication technology, thereby establishing a new standard in connected maintenance solutions.

Building on their shared commitment to innovation, both companies have agreed investment into their collaboration on developing two AI-driven lubrication system prototypes; one tailored for grease-based applications and the other for oil-based systems.

Over the next 12 months the partnership expects to:

· Integrate the IntelliAM machine learning platform directly into the manufacturer's AI-ready grease and oil lubrication systems, elevating product intelligence through real-time, predictive capabilities. This embeds contextual machine and process data insights into traditional lubrication hardware systems.

· Collaborate on designing and bringing to market two advanced prototypes, one grease-based and one oil-based, that seamlessly unify the manufacturer's industrial-grade hardware with IntelliAM's analytics and machine learning architecture.

· Deliver actionable insights that enable on-condition parameters, thereby improving lubrication management, reducing wear and failures, and enhancing overall asset reliability.

· Leverage the partnership's joint-product development and combined sales channels to penetrate new markets and customer segments, aligning with both companies' growth goals.

· Demonstrate how embedding AI in lubrication systems can redefine standard maintenance protocols across industries, fostering broader adoption of proactive, data-driven machine care practices.

The partnership will create a powerful fusion of industrial hardware leadership and advanced software intelligence. By embedding AI and machine learning into the manufacturer's lubrication systems, customers benefit from predictive insights, optimised machine performance, reduced downtime, and lower total cost of ownership, while also advancing sustainability objectives. For the manufacturer, this collaboration secures a clear competitive advantage in connected maintenance and strengthens long-term customer relationships. For IntelliAM, it accelerates software ARR growth through global product rollouts supported by the manufacturer's distribution reach. Together, the companies are redefining machine reliability and performance. 

Tom Clayton, CEO of IntelliAM AI, said:

 

"This agreement represents a transformational milestone for IntelliAM and a clear validation of our technology. By partnering with this manufacturer, we are embedding our AI platform into products that sit at the very heart of industrial operations worldwide. This collaboration gives us opportunity to scale rapidly through their global distribution reach, drive recurring software revenues, and deliver measurable performance and sustainability improvements for customers. We are confident that this partnership will generate material long-term value for both companies and their stakeholders."

Enquiries:

IntelliAM AI plc +44 114 299 5007

Tom Clayton, Chief Executive Office

Daud Khan, Chief Financial Officer

 

Oberon Capital - AQSE Corporate Adviser and Broker  +44 203 179 5300

Adam Pollock

Nick Lovering

Mike Seabrook

 

Square1 Consulting - Financial PR +44 207 929 5599

David Bick +44 7831 381201

 

About Intelliam

 

Intelliam AI plc is a software company leveraging the power of AI and machine learning to transform productivity in the manufacturing and engineering sectors. The IntelliAM platform harnesses vast amounts of data from clients' machines and operational systems to provide actionable insights, enhancing productivity, reliability, supply-chain optimization, energy efficiency, and sustainability.

 

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