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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.

What is Celatum?

Celatum is a desktop application designed to detect and anonymize personal information in documents. This software works seamlessly with DOCX files on both Windows and macOS and provides users the option to paste text directly into its interface for processing. By leveraging an on-device model, it can identify over 50 types of sensitive identifiers, including personal names, organizations, addresses, Swiss AVS numbers, IBANs, birth dates, email addresses, and case references, across various languages such as German, French, Italian, and English. Users can evaluate the detected data, choose to disable specific matches, add new terms, and decide whether to permanently anonymize or consistently pseudonymize the text. The reversible pseudonymization method employs a local key file to enhance security. Additionally, Celatum includes functionalities like batch processing, reusable templates, and the capability to recover data through the key file. This tool proves especially advantageous for professionals like lawyers, fiduciaries, healthcare providers, and compliance teams who handle sensitive documentation. It is essential for users to perform manual reviews, as automated detection can sometimes miss certain identifiers or produce false positives, thereby safeguarding the integrity of the anonymization process. Therefore, incorporating a human oversight element is vital to ensure that all personal information is effectively managed and protected.

Media

Media

No images available

Integrations Supported

Claude Desktop
Google Chrome
Microsoft Word

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

$159
Free Trial Offered?

Pricing Information

CHF 29/user/month
CHF 29 per user per month for monthly billing. A 7-day free trial is available. Annual billing and volume discounts are also offered; pricing for 50+ users or custom deployments is by arrangement.
Free Version

Supported Platforms

Windows
Mac

Supported Platforms

Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Webinars

Company Facts

Organization Name

Occlira

Date Founded

2026

Company Location

Cyprus

Company Website

occlira.com

Company Facts

Organization Name

Salvioni Digital Solutions

Date Founded

2026

Company Location

Switzerland

Company Website

celatum.ch/

Categories and Features

Data Anonymization

Not specified

Data Masking

Not specified

Categories and Features

Data Anonymization

Not specified

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