Rational Governance

Rational Governance is an enterprise information governance platform that provides tools for understanding and managing unstructured data. It offers centralized data indexing, dynamic searching, and advanced analytics powered by machine learning to help organizations with file analysis, records management, compliance, and security. The platform enables automated policy enforcement for data lifecycle management, including preservation, retention, deletion, and movement of documents.

Rational Governance offers enterprise-level data governance with features like centralized data indexing, dynamic searching, advanced analytics using machine learning (SVM and clustering), and a policy engine for automated actions on documents. It supports various data sources and focuses on risk mitigation, compliance, and storage optimization. While it has strong capabilities in automated organization, search, and security, it lacks explicit conversational AI for file interaction and direct file editing/renaming as described in the Dynbox concept. The 'conversation with your data' refers to interactive visualizations and dynamic searching, not a natural language AI chat for file manipulation. It also doesn't explicitly mention user-in-the-loop feedback for refining AI suggestions in the same way Dynbox does, although the SVM model can be quality checked and updated.