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Grooper is an AI-powered platform specializing in automated document classification and data extraction. It uses machine learning and rules-based logic to organize semi-structured and unstructured documents, offering features like lexical, rules-based, and visual classification. Additionally, it provides AI Assistants that leverage Retrieval-Augmented Generation (RAG) for conversational AI and semantic search across various data sources like documents, databases, and web services.

Features
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Must Have

5 of 9

AI File Chat

Semantic Search

Automated Sorting Rules

Automated Folder Organization

Conversational AI Interface

Cloud Storage Integration

Privacy Controls

File Editing & Renaming

User Feedback Learning

Other

2 of 22

Advanced AI Model

Customizable Sorting Rules

Feedback-Driven Refinement

Manual Approval Workflow

Demo Mode

Local File Access

Usage Credits & Quotas

Multi-User Collaboration

Enterprise SSO & Compliance

Centralized Team Billing

Data Encryption & Security

Cloud Storage Integrations

Local File System Access

File Cleaning & Deduplication

Content-based Q&A

Security & Privacy Controls

Version History

Multi-tier Pricing Plans

User Roles & Permissions

Cross-platform Support

Bulk Operations & Batch Processing

Notifications & Reminders

Rationale

Grooper offers automated document classification using AI and machine learning, which aligns with the core concept of automated sorting rules and folder organization. It also features AI Assistants with conversational AI and semantic search capabilities. However, it focuses on document processing rather than general file management across cloud and local storage, and lacks explicit mentions of user-in-the-loop feedback for refining AI suggestions or direct file editing/renaming features as described in Dynbox. The privacy controls and manual approval workflow are not explicitly detailed in the same manner as Dynbox's user-in-the-loop feedback and privacy controls.

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