Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
TrueZero offers a vaultless data privacy API that substitutes sensitive personally identifiable information (PII) with tokens, enabling organizations to lessen the effects of data breaches, facilitate safer data sharing, and reduce compliance burdens. Our tokenization technology is utilized by top financial institutions. No matter where or how PII is utilized, TrueZero Tokenization effectively secures and replaces that information. This allows for more secure user authentication, information validation, and profile enhancement without disclosing sensitive data such as Social Security Numbers to partners, internal teams, or external services. By minimizing your environments that require compliance, TrueZero can significantly expedite your compliance timeline, potentially saving you millions in development or partnership expenses. With data breaches averaging $164 per compromised record, tokenizing PII is crucial for safeguarding your organization against penalties related to data loss and damage to your brand’s reputation. You can store tokens and perform analytics just as you would with unaltered data, ensuring both functionality and security. In today’s data-driven world, this approach not only enhances privacy but also fosters trust with clients and stakeholders alike.
API Access
Has API
Yes
API Access
Has API
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
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)
Yes
In Person
No
Vendor Details
Company Name
Limina AI
Country
Canada
Website
www.getlimina.ai/
Vendor Details
Company Name
Spring Labs
Country
United States
Website
springlabs.com/truezero-tokenization/