The Alegion platform is built for flexibility, with the understanding that each use case is unique and that labeling requirements evolve throughout the model lifecycle. With user-friendly tooling, our MLenabled platform is designed to handle even the most complicated use cases.
Our platform flexibility is key to helping us achieve quality at scale for clients. The ability to configure multi-stage, conditional workflows and break large tasks into microtasks reduces the cognitive load on annotators, boosting their focus and improving both precision and recall in labeling. By breaking larger tasks into micro-tasks, tasks can be divided up and distributed across the workforce to workers and reviewers with the most appropriate expertise and skills sets, further ensuring quality labeling. Another benefit of microtasking is the ability to get as granular in labeling as necessary to meet annotation and quality requirements.
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