Nevi - 2026 Pricing, Features, Reviews & Alternatives

Nevi is an AI-based document management solution that transforms scattered digital files into a structured and searchable repository. The system employs artificial intelligence to categorize documents by type, extract metadata such as sender, recipient, amounts, and deadlines, and present information through semantic search and a natural language chat interface. Developed and hosted entirely in Germany, the platform adheres to the European General Data Protection Regulation and addresses the needs of organizations with rigorous data security requirements.

The software automatically processes files from local uploads or connected repositories. Supported formats include PDF, Word, Excel, PowerPoint, image files, email messages and documents from Apple iWork. After initial connection to existing cloud storage or drag and drop uploads, the intelligence layer sorts documents, recognizes key dates and financial data, and populates an integrated agenda that issues timely reminders for contract periods, payment terms and cancellation deadlines. The natural language chat assistant understands contextual queries, enabling retrieval of specific documents without relying solely on keyword matches.

Nevi integrates with leading application environments such as Microsoft three sixty-five, Outlook, OneDrive, Google Drive, Dropbox and IMAP mail servers. Document synchronization occurs in real time as new files are detected and analyzed. All data transfers and storage operations employ encryption in transit and at rest. Organizations benefit from a collaborative workspace that supports file sharing and task coordination while maintaining strict compliance with European data protection standards.

Implementation requires no specialized technical resources and eliminates the need for manual filing or extensive configuration. The solution caters to small and medium-sized enterprises across sectors that depend on efficient document workflows, precise deadline management and rapid information retrieval. Ongoing development efforts aim to extend integration capabilities with additional business systems.