IntelliAM is transforming the machine asset management industry, making innovative advancements in how machine and man interact to manage the lifecycle of equipment, parts and production lines.
The agreement, announced today to the Aquis Stock Exchange, is expected to see IntelliAM’s breakthrough machine learning platform embedded into SKF’s products.
SKF is a leading global supplier of products, solutions and services for the reduction of friction in rotation and one of the largest public companies in the world. The company is present in around 129 countries with over 17,000 distributors and has exposure to over 40 industries.
A letter of intent between both companies will be a precursor to a partnership agreement for the provision of IntelliAM’s machine learning platform and SKF AI-ready products, for both IntelliAM and SKF sales teams.
IntelliAM, which floated earlier this year on the specialist growth market Aquis, was created on the back of years of industry knowledge and domain expertise.
Many of the world’s biggest manufacturers, including half of the world’s top ten food and drinks producers, use IntelliAM’s machine learning and AI solution to tap into billions of manufacturing data points to improve productivity.
The SKF partnership will unlock new possibilities across industry, says Tom Clayton, CEO at IntelliAM.
“This marks a pivotal moment in the partnership between SKF and IntelliAM. By embedding our machine learning platform into SKF’s exceptional products, we are not only enhancing their performance but also unlocking new possibilities for industry as a whole.”
Erika Morichetto, Director SKF Lubrication Management Sales Europe, Middle East & Africa added: “Our ambition is that we can continue to grow together and explore this market with joint product and customer development, now also with the intention to extend this to include machine learning.
“We see that machine learning will provide an opportunity to enhance the connected SKF products in application and support our clients with insights for their machines or processes and improve their maintenance practices.”
The discussions between the two companies are built upon a long-term partnership. It is anticipated that detailed contractual discussions will be concluded in 2025.
