Nanonets is an AI-powered automation platform that can extract useful information from unstructured data in documents, emails, tickets and databases. It includes AI-powered data extraction, data enrichment and smart decision engines to help you quickly review and validate files. Nanonets is geared for industries like finance, manufacturing and health care, for example with accounts payable and medical data processing.
Another good option is DataChat, a no-code generative AI platform that lets you transform complex data into useful information without having to write any code. Its interface is like a familiar spreadsheet and chat interface, so it should be easy to use. DataChat automates routine tasks like data prep and modeling, but also more complex tasks like outlier analysis, making it good for data scientists, analysts and business users.
Expert.ai uses deep Natural Language Processing (NLP) technology to convert text data into knowledge and insights. It marries symbolic and machine learning approaches for high accuracy and flexibility, and is geared for industries like insurance, pharmaceuticals and financial services. The company offers language data tools for knowledge discovery, intelligent document processing and hybrid AI for high-quality results.
For those who need industrial-strength data extraction, DATAKU uses Large Language Models (LLMs) to transform unstructured text and documents into structured data at scale. It offers tools like Document Insights and Text Intelligence, and is good for a variety of tasks like resume extraction and financial analysis. DATAKU offers a variety of pricing plans and can be used for everything from recruitment to financial document analysis.