| By training AI models at the edge where the data is generated, one can train on the entire data generated, without compressing, or sampling the data in order to make it easily transferable to the cloud/server, and without the need to anonymise it for privacy reasons. This ability to decentralise the training process, and by doing so, allowing to train on entire datasets, will bring forth a potential new level of accuracy to the world of AI. These new obtainable accuracies can generate both high financial rewards in some verticals (retail, intelligent homes, manufacturing), and life-saving solutions in others (autonomous cars, medical). |
| A fundamental shift in AI Training.
A Distributed yet Collaborative Framework for training DL and ML at the Edge.
We allow any company, from any industry, to train complete DL and ML models, directly on their own edge devices. Reaching close to perfect accuracy, without the need to transfer any of the data to the cloud. |
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