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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 Occlira?

Occlira proficiently removes personal and confidential information from legal documents before they are shared or used with external AI services, while also allowing for the subsequent restoration of that information. This software supports analysis of .docx and .pdf file formats, adeptly identifying various details such as names, addresses, email addresses, phone numbers, identification numbers, tax IDs, IBANs, case identifiers, and corporate names by utilizing a localized machine learning model tailored for the German, Austrian, and Swiss markets. All processing occurs on the user's device, ensuring that no documents are sent to external servers. Recognized entities are replaced with standardized placeholders like [PERSON_1] or [COMPANY_A], preserving the text's readability and context. The mapping of the identified data is securely stored locally, facilitating a reversible workflow: users can anonymize a contract, leverage it with AI tools like ChatGPT or Claude, and seamlessly reintegrate the original names into the document afterward. Each detection is subject to user confirmation before execution, and the formatting of the output is consistent with the original document's layout. This solution is accessible as a signed desktop application for both Windows and macOS, provided under a straightforward one-time licensing arrangement. Moreover, users can enjoy heightened privacy, assured that their data remains secure throughout the entire procedure, reinforcing the importance of data protection in today's digital landscape.

Media

No images available

Media

Integrations Supported

Claude Desktop
Google Chrome
Microsoft Word
Model Context Protocol (MCP)

Integrations Supported

Claude Desktop
Google Chrome
Microsoft Word
Model Context Protocol (MCP)

API Availability

Has API

API Availability

Has API

Pricing Information

$149/year
Free Version
Free Trial Offered?

Pricing Information

$159
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

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
Online Training
On-Site Training

Company Facts

Organization Name

Velum Privacy

Date Founded

2025

Company Location

Spain

Company Website

velumprivacy.com

Company Facts

Organization Name

Occlira

Date Founded

2026

Company Location

Cyprus

Company Website

occlira.com

Categories and Features

Categories and Features

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