Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
To protect sensitive information, including personally identifiable information (PII), organizations must implement techniques such as pseudonymization and anonymization for secondary purposes like comparative effectiveness studies, policy evaluations, and research in life sciences. This process is essential as businesses amass vast quantities of data to detect patterns, understand customer behavior, and foster innovation. Compliance with regulations like HIPAA and GDPR mandates the de-identification of data; however, the difficulty lies in the fact that many de-identification tools prioritize the removal of personal identifiers, often complicating subsequent data usage. By transforming PII into forms that cannot be traced back to individuals, employing data anonymization and pseudonymization strategies becomes crucial for maintaining privacy while enabling robust analysis. Effectively utilizing these methods allows for the examination of extensive datasets without infringing on privacy laws, ensuring that insights can be gathered responsibly. Selecting appropriate de-identification techniques and privacy models from a wide range of data security and statistical practices is key to achieving effective data usage.
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.
API Access
Has API
No
API Access
Has API
No
Integrations
Claude Desktop
No
Google Chrome
No
Microsoft Word
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$159
Free Trial
Yes
Free Version
No
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
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Fasoo
Country
United States
Website
en.fasoo.com/products/analyticdid/
Vendor Details
Company Name
Occlira
Founded
2026
Country
Cyprus
Website
occlira.com