If you're looking for a document management system that uses AI to process and structure lots of business-critical documents, ABBYY is a good option. It uses AI, NLP and OCR to automate business processes with intelligent document processing and data extraction. ABBYY's platform offers high capture accuracy, complex field extraction and actionable insights, and is good for processes like accounts payable and enterprise automation.
Another good option is M-Files, a metadata-based document management system for midsize and enterprise companies. M-Files uses sophisticated AI to create, manage and automate document processes across many industries. With automated workflows, security and compliance features, it's a good option for boosting productivity and lowering risk, with a strong ROI and customer satisfaction.
Document AI by Playmaker is also a good option for automating document-based processes by extracting, validating and using data. It can handle many file types and can accommodate custom or unusual document formats, so it's good for different business needs. The system is designed to save time and reduce errors by ensuring data accuracy and security.
If you want a knowledge base and document management system, check out TextMine. It packages business-critical documents into a single operational layer for better data transparency and scalability. With features like Vault for structuring unstructured data and Legislate for advanced searching and data extraction, TextMine has a range of products to manage the full document lifecycle.