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What is Velum Privacy?

Velum Privacy is crafted to safeguard personal information before it engages with an AI assistant, and it efficiently restores original values in the output, functioning entirely on your device without reliance on servers, accounts, or telemetry. This system is fundamentally reversible; it utilizes one-way redaction to protect data, which might usually hinder the clarity of the response, but a local mapping mechanism guarantees that the output remains coherent and understandable. It features three unique interfaces bundled into a single framework: a browser extension that works with Chrome, Brave, Edge, and Vivaldi, allowing text masking without the necessity of an account; a macOS desktop application designed for handling documents, folders, and coding tasks via MCP, with a Windows version in the works; and an application for Jira and Confluence Cloud that integrates seamlessly within your Atlassian ecosystem. Detection is accomplished through a mix of pattern recognition, checksum verification tailored for IBANs and national IDs, and a local named entity recognition model that accommodates nine language variants, with published accuracy metrics showcasing an outstanding 99.8% must-mask F1 score at peak performance, including failure rates. The system's dedication to transparency is clear, as the extension requests no host permissions, while the desktop application thoroughly details all outbound connections and ensures that masking functions even when offline, thereby bolstering the system's integrity. These extensive precautions empower users to retain control over their sensitive data while capitalizing on the advantages provided by AI technology. Ultimately, Velum Privacy stands as a robust solution for users seeking to balance data security with the convenience of AI assistance.

What is Doculayer?

Forget the tedious tasks of manual content classification and data entry, as Doculayer.ai offers a customizable workflow that encompasses a range of document processing services, including OCR, document type and topic classification, along with data extraction and masking. With its user-friendly interface, Doculayer.ai empowers business users to efficiently label documents and data, enhancing their learning and training processes. The platform employs a hybrid data extraction method, integrating machine learning models with established patterns, rules, and library scripts to achieve superior outcomes in a shorter time frame. Additionally, data masking is available to help anonymize or pseudonymize sensitive information within documents. By incorporating Doculayer.ai into your Content Services Platform and Business Process Management systems, you can significantly enhance document intelligence. Furthermore, this innovative solution enables your existing IT infrastructure to be supplemented with advanced technologies such as machine learning, natural language processing, and computer vision, all aimed at streamlining document processing. Ultimately, adopting Doculayer.ai can transform the way organizations manage their documents and data workflows.

Media

Media

Integrations Supported

Model Context Protocol (MCP)

Integrations Supported

API Availability

API Availability

Pricing Information

$149/year
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Velum Privacy

Date Founded

2025

Company Location

Spain

Company Website

velumprivacy.com

Company Facts

Organization Name

Doculayer

Date Founded

2007

Company Location

Netherlands

Company Website

www.doculayer.com/doculayer-platform

Categories and Features

Data Masking

Not specified

Categories and Features

Data Anonymization

Not specified

Data Extraction

Not specified

Data Masking

Not specified

OCR

Not specified

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