Artificial Intelligence and Machine Learning can deliver high ROI across many applications in industry, but its widespread adoption is hampered by a lack of suitable machine learning infrastructure and the need to centralise data which in turn leads to high costs, privacy risks, overdependency on cloud platforms and network availability.

To solve these barriers to AI for Industrial IoT, T-DAB.AI are harnessing a simple but revolutionary idea. Rather than move data from Edge devices to central cloud platforms to train algorithms, move the algorithms to the data and learn at the Edge. Intelligence is achieved by combining learning on many devices via a novel technology called Federated Learning.

To deliver this, T-DAB.AI has created a decentralised AI platform for industrial IoT: OctaiPipe. OctaiPipe represents a paradigm shift in AI solving high value industrial machine intelligence use cases whilst vastly reducing costs, privacy risks, and network or cloud dependency. Customers can either buy pre-built solutions or develop their own to deploy and scale on OctaiPipe.