Question: I'm looking for a tool that uses AI to process unstructured data and create pipelines for analytics and machine learning workloads.

If you're looking for a tool that uses AI to process unstructured data and create pipelines for analytics and machine learning workflows, Dataloop is a great choice. The platform handles data curation, model management, pipeline orchestration and human-in-the-loop feedback to speed up AI application development. It can handle a wide variety of unstructured data, including images, videos and text, and has strong security controls. With automated preprocessing, embeddings for similarity detection and a marketplace for pre-trained models and pipelines, Dataloop can help you collaborate better and get to market faster.

Another tool worth a look is Clarifai, an AI workflow orchestration tool that helps you take AI prototypes to production. It supports a range of modern AI technologies like Large Language Models, Generative AI and Retrieval Augmented Generation. Clarifai's automated data labeling and content moderation can help you get to market faster and cut development costs. Its wealth of resources and support for no-code and low-code users makes it a good fit for a variety of organizational needs.

If you need a platform to deploy and manage AI agents at large scale, Abacus.AI is a good option. It can handle generative AI and other neural network approaches to create predictive models, including forecasting and anomaly detection. With features like notebook hosting, model monitoring and explainable ML, Abacus.AI is designed to make AI easier to incorporate into your applications and run more efficiently in production.

Last, Dataiku offers a platform that makes AI accessible for mainstream use. It can handle data preparation, machine learning and MLOps, as well as strong collaboration and governance. Dataiku is a Leader in the Gartner Magic Quadrant for Data Science & ML Platforms and offers flexible pricing to accommodate teams of different sizes and needs.