If you're looking for a platform to clean and prepare unstructured data for AI and machine learning models, Shelf is a good option. Shelf is designed to take raw corporate data and transform it into a structured format that's ready for AI and machine learning analysis. It can handle problems like errors, stale data and data duplication, and can ensure a strong and sustainable data foundation. By connecting to data sources and using a five-step process, Shelf ensures data health, making information more available and decreasing the likelihood of wrong answers.
Another option is Dataloop, an AI development platform that combines data curation, model management and pipeline orchestration. Dataloop is particularly good at handling large amounts of unstructured data like images, videos and text, with automated preprocessing and similarity embedding. It also offers model management, pipeline visualization and human feedback integration, all while maintaining high security. The platform is designed to speed up AI application development, collaboration and high-quality output.
If you're working with text and document data, DATAKU provides industrial-strength data extraction and transformation using Large Language Models (LLMs). It can convert unstructured text and documents into structured data at scale, with features like Document Insights and Text Intelligence. That means it can be used for things like resume extraction, customer data analysis and financial document analysis, and can automate data processing and personalize customer interactions.
Last, consider Dataiku, a platform that brings AI to everyday work with features like data preparation, machine learning and MLOps. Dataiku is designed for multiple teams, including AI and Machine Learning, Data Analytics and Enterprise AI. It lets people build, deploy and maintain machine learning models while ensuring safe scaling with proper oversight and prioritization. It's a well-respected platform that can help you achieve significant improvements in resource utilization and customer experience.