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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

Praxi is an innovative data classification platform that leverages artificial intelligence to convert unstructured data into meaningful and actionable insights specifically for highly regulated sectors like healthcare, finance, and defense. By providing pre-trained AI models, it streamlines the processes of data discovery, curation, and classification, significantly reducing the need for manual intervention and saving both time and resources. The platform effectively scans various data sources and silos, establishing a cohesive interface that clarifies data relationships while ensuring compliance with GDPR regulations and facilitating automated data curation. Offering real-time insights and improved data governance, Praxi seamlessly integrates with existing systems, empowering organizations to fully harness their data, enhance decision-making capabilities, and maintain regulatory compliance. Furthermore, its user-friendly design enables teams to focus on strategic initiatives while the platform manages the complexities of data management.

Description

The Raptor GRC Classifier is a self-hosted solution designed for assigning classification labels to emails and documents within Microsoft Office and LibreOffice/OpenOffice environments. Administrators have the ability to create labels and policy bundles that are signed; these labels can be used to modify email subject lines, add markings to documents, and include watermarks. Each label can be configured with specific rules that may allow, issue warnings, require justifications, or block outbound messages, and users have the opportunity to test draft policies prior to their official release. Even when disconnected from the server, clients continue to enforce policies that have been cached. A web-based dashboard offers insights into device status, logs client events, and maintains a document inventory with persistent IDs, along with options for exporting data in CSV or Excel format. Additionally, the software includes features for endpoint discovery, mapping to Microsoft Purview labels, forwarding to SIEM systems, and utilizing signed webhooks. It is necessary to operate the server on a Linux container host, while clients can run on either Windows or Ubuntu systems. Early-access versions of the software are made available for evaluation purposes, with the understanding that they are not suitable for production environments. The solution thus provides organizations with a comprehensive tool for document and email classification, ensuring compliance and enhancing data governance.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Microsoft Purview Information Protection No 

Integrations

Microsoft Purview Information Protection Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Praxi.AI

Founded

2018

Country

United States

Website

www.praxi.ai/

Vendor Details

Company Name

Biff Labs

Founded

2026

Country

United Kingdom

Website

raptorgrc.com/products/classifier

Product Features

Data Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification No 
Visual Analytics No 

Product Features

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