This case study is about a global Fortune 500 company in sustainable manufacturing and digital factory solutions space. They provide integrated hardware, software, and consulting services across operational technology (OT) and information technology (IT) systems.
The company wanted to provide their customers with a solution in the manufacturing space particularly around debugging and maintenance. Current solutions collect data in silos, and the help these solutions offer for maintenance and debugging is usually siloed as well. They needed a solution that could bridge these silos while handling both OT and IT systems related to the processes and resources at the factory.
They recognized the potential of generative AI in manufacturing and industrial applications and were looking for a flexible, deployable solution. They already have an HCI solution based on Microsoft Azure but needed something that could work across different environments. Whether in the cloud, on-premises or at the edge. They were excited to learn that our solution could be deployed anywhere. This enables them to build solutions for various internal use cases as well as a diverse customer base.
ConfidentialMind Platform addresses their AI needs for industrial debugging and system integration. The main goal when starting the collaboration was to prove that gen AI industrial debugger solution is possible, and it provides debugging solutions faster than without it.
We're enabling them to:
The partnership demonstrates how quickly generative AI for manufacturing and industrial solutions can be implemented, especially when there's a clear focus and strong collaboration. Since the installation of the ConfidentialMind platform, we moved to working applications in a few weeks. By doing so, we proved that a gen AI industrial debugger solution is possible and can provide real value in industrial and manufacturing settings. The success has opened further opportunities, both for new use case implementation and long-term partnership.