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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
Limina is a data de-identification platform that uses context-aware detection to identify and transform sensitive information without unnecessarily removing the information that makes datasets useful. It supports PII, PHI, and PCI detection across more than 50 entity types, including names, Social Security numbers, payment card information, medical conditions, medications, passport numbers, and international variations. Rather than relying exclusively on patterns and formatting rules, Limina analyzes surrounding context to identify sensitive entities that may appear across sentences or conversational turns. The platform is built to work with both structured and unstructured information, including difficult datasets containing ASR errors, OCR mistakes, handwritten forms, and conversational disfluencies. Limina supports 52 languages and multilingual or code-switching data, with deployments referenced across the United States, Canada, United Kingdom, Germany, Japan, Hong Kong, Australia, and Switzerland. Organizations can deploy Limina as a container inside their own VPC or on-premises environment, allowing data to remain within infrastructure they control without third-party access or outbound processing calls. Its data-linking capabilities connect related information while converting unstructured content into structured intelligence that can be used in downstream workflows. Limina integrates with existing technology environments including AWS, Azure, Snowflake, and NVIDIA NeMo and is designed to operate at enterprise scale. The platform is intended for healthcare, pharmaceutical, financial services, insurance, technology, and other regulated organizations that need to balance privacy and compliance requirements with continued use of sensitive datasets.
API Access
Has API
No
API Access
Has API
Yes
Integrations
ChatGPT
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
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
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
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)
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Fasoo
Country
United States
Website
en.fasoo.com/products/analyticdid/
Vendor Details
Company Name
Limina AI
Country
Canada
Website
www.getlimina.ai/
