Democratizing AI on the Modern Data Stack! The team behind PyG (PyG.org) is working on a turn-key solution for AI over large-scale data warehouses. We believe the future of ML is a seamless integration between modern cloud data warehouses and AI algorithms. Our ML infrastructure massively simplifies the training and deployment of ML models on complex data. With over 40,000 monthly downloads and nearly 13,000 Github stars, PyG is the ultimate platform for the training and development of Graph Neural Network (GNN) architectures. GNNs -- one of the hottest areas of machine learning now -- are a class of deep learning models that generalize Transformer and CNN architectures and enable us to apply the power of deep learning to complex data. GNNs is unique in the sense that they can be applied to data of different shapes and modalities.

Our mission is to bring the most powerful graph learning approaches, proven in the research world, to all enterprise data—through simple and elegant tooling. We are passionate about the possibility and promise of graph learning. We believe we can scale enterprise prediction by orders of magnitude, while also dramatically widening the circle of people who can effectively use predictive AI.