Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Occlira effectively eliminates personal and sensitive information from legal documentation prior to sharing or utilizing external AI services, while also enabling the restoration of that information afterward.
The software is capable of analyzing .docx and .pdf formats, identifying various elements such as names, addresses, email addresses, phone numbers, identification and tax numbers, IBANs, case identifiers, and corporate names through a localized machine learning model that is specifically optimized for the German, Austrian, and Swiss contexts.
All operations are conducted on the user’s device, ensuring that documents are not transmitted to any external servers.
Recognized entities are substituted with uniform placeholders like [PERSON_1] or [COMPANY_A], which maintains the readability of the text.
The mapping of detected data is securely stored on the device, allowing for a reversible process: users can anonymize a contract, utilize it with AI models like ChatGPT or Claude, and then seamlessly reintegrate the actual names into the document afterward.
Each detection is presented for user verification prior to implementation, and the formatting of the output remains true to the original document.
This solution is available as a signed desktop application compatible with both Windows and macOS, offered under a one-time licensing model. Additionally, users benefit from enhanced privacy, knowing their data is protected throughout the entire process.
Description
The Soflab G.A.L.L. application aims to anonymize sensitive information in non-production settings, facilitating the creation of high-quality synthetic data that mirrors real datasets, thus enabling effective testing processes. As it safeguards sensitive details, the application effectively mitigates the risk of data leaks. By substituting genuine data with artificial counterparts, it reduces the potential for data breaches while identifying sensitive or erroneous entries. This results in decreased legal and financial risks while ensuring the protection of customer transactional data. The application promotes a unified approach to anonymization across various non-production systems, thus maintaining a consistent data model and preserving connections with production data. Additionally, synthetic data generated from essential production attributes retains statistical integrity for business intelligence and artificial intelligence applications. A centralized test data repository allows for controlled data reuse, which not only lowers maintenance expenses and accelerates deployment timelines—up to five days—but also facilitates simulation and reusable scenarios effectively. Overall, the application enhances testing efficiency while prioritizing data security.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Claude Desktop
No
Google Chrome
No
Microsoft Word
No
Pricing Details
$159
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
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
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Occlira
Founded
2026
Country
Cyprus
Website
occlira.com
Vendor Details
Company Name
Soflab Technology Sp. z o.o.
Founded
2008
Country
Poland
Website
soflab.pl/en/