If you need a way to wring insights out of unstructured data, Nanonets is another option worth considering. The AI-powered service extracts insights from documents, emails, databases and more. It automates repetitive work, enriches data for better decision-making and exports data in various formats. Nanonets is used by companies in finance, manufacturing and health care to streamline operations, reduce errors and boost productivity while complying with regulations like GDPR and HIPAA.
Another option is Lettria, a no-code AI service that marries Large Language Models with symbolic AI technology to process and extract insights from text data. It can be used to build custom NLP models, preprocess text data and perform semantic analysis. Lettria lets customers maintain control over their data and deploy it on private or public clouds, which can be important for security. It's good for turning unstructured text into useful information and knowledge graphs, and for making better decisions with accurate text analysis.
If you need to extract knowledge and insights from text data with deep NLP, Expert.ai is another option. It marries symbolic and machine learning approaches for high accuracy and flexibility. Expert.ai is geared for companies in the insurance, pharmaceutical and financial services sectors that need to make better decisions, lower risk and increase productivity. It's got tools for intelligent document processing, language data tools for discovering knowledge and domain language models for industry-specific knowledge.
Last, DATAKU offers a more powerful option for transforming unstructured text and documents into structured data. Using LLMs, DATAKU offers features like Document Insights and Text Intelligence. It can be used for a variety of tasks like resume extraction, customer data analysis and financial document analysis. With different pricing levels, DATAKU can be used by companies that want to automate data processing and make strategic decisions.