Loop is a configurable SaaS platform that facilitates the implementation of end-to-end AI data pipelines. Combining AI data ops with human-in-the-loop process to help customers build scalable, global AI-driven experiences in three easy phases.
Loop user-friendly components allow Data Scientists to visualize data, monitor model performances, run benchmarks, and set up data annotation and data capture experiments with just a few clicks.
Selecting the right technology for AI initiatives is key to optimizing ROI. Loop provides agnostic benchmarking across several foundational models, and integration with providers such as Azure, AWS, OpenAI, and HuggingFace.
Loop gives Program Managers the power to manage the health of their AI initiatives, with a holistic view on data collection, data annotation, model monitoring and reinforcement learning from human feedback.
Loop offers QA teams with control over data annotation and collection processes with the ability to customize task interfaces, guidelines, error matrices, and identify good annotators to ensure the right KPIs are achieved.
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