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What is Raptor GRC Classifier?

The Raptor GRC Classifier is a self-hosted tool tailored for the classification of emails and documents within environments like Microsoft Office and LibreOffice/OpenOffice. Administrators can develop and sign policy bundles with classification labels that modify email subject lines, enhance documents with markings, and incorporate watermarks. Each label can be tailored with specific rules to allow actions, issue warnings, require justifications, or block messages, while users have the chance to evaluate draft policies before they go live. Even when a connection to the server is lost, cached policies continue to be enforced on client devices. A web-based dashboard provides real-time insights into device health, logs events from clients, manages a persistent document inventory with unique IDs, and supports data exportation in CSV or Excel formats. The software also offers functionality for endpoint discovery, integration with Microsoft Purview labels, forwarding capabilities to SIEM systems, and the use of signed webhooks. The server must operate on a Linux container host, while clients are compatible with Windows and Ubuntu systems. Early-access versions of the software are released for testing, although they are not intended for production use. This solution equips organizations with a robust mechanism for document and email classification, promoting compliance while enhancing data governance. Furthermore, its user-friendly interface and extensive features can significantly streamline administrative tasks related to data management.

What is Colabeler?

The platform offers features such as image categorization, bounding box detection, polygon annotation, curve tracing, and 3D positioning. Furthermore, it also includes capabilities for video tracking, text categorization, and named entity recognition. Users can enhance their experience by creating custom task plugins to design their own labeling tools. Files can easily be exported in the PascalVoc XML format, which aligns with the standard used by ImageNet, in addition to the CoreNLP format. This software is designed to work across various operating systems, including Windows, Mac, CentOS, and Ubuntu. Such compatibility guarantees that users can effortlessly incorporate it into their current workflows, enhancing productivity and efficiency. As a result, this platform caters to a wide range of labeling needs across different applications.

Media

No images available

Media

Integrations Supported

Microsoft Purview Information Protection

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
On-Prem
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Biff Labs

Date Founded

2026

Company Location

United Kingdom

Company Website

raptorgrc.com/products/classifier

Company Facts

Organization Name

Colabeler

Company Location

China

Company Website

www.colabeler.com

Categories and Features

Data Classification

Not specified

Categories and Features

Data Annotation

Not specified

Data Labeling

Labeling Automation
Labeling Quality
Polygon, Rectangle, Line, Point
SDK
Team Collaboration

Image Annotation

Not specified

Video Annotation

Not specified

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ClassifyIt Reviews & Ratings

ClassifyIt

Ralf Ulrich Garbe
5.0 out of 5 stars