Linear Logic is a data-centric platform to manage the entire Machine Learning lifecycle. We take your unlabelled data all the way to a production ready Machine Learning model. Our core mission is to accelerate the development of Artificial Intelligence applications. The system is designed for engineers and scientists to iteratively work on their projects. Since your first idea is unlikely to be the best we must iterate to innovate. Use active learning to identify tasks that are relevant to the learning process of the model, and create more performant models with less data. Upload raw data to a project and create fully customisable workflows to structure the labelling phase. When annotating you will be supported by AI supervision tools that will reduce the annotation time by up to 90%. Bring your data, labels and model predictions together in a dataset to debug your models and identify edge-cases. Models can be trained and evaluated on a dataset in a single click, use these trained models to help you collect more data automatically! The platform allows you to create bounding boxes, named entities, relational dependencies, instance ID's, directional vectors, annotation tags and much more. Whether you work on a project by yourself or with a team, you'll be assured of radically efficient data annotations with intuitive insights into the model's performance. Try it out today at linearlogic.ai.