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What is PHEMI Health DataLab?

In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including: It allows analysts to engage with data while adhering to strict privacy standards. It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively. It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks. It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access. It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management. Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.

What is Limina?

Limina is a context-aware data de-identification platform for detecting and transforming sensitive information across structured and unstructured enterprise data. It is designed to preserve useful context while removing or transforming information that could create privacy, security, or regulatory risks. Limina identifies PII, PHI, and PCI across more than 50 entity types, including names, Social Security numbers, credit cards, medical conditions, medications, passport numbers, and international variants. Instead of depending solely on predefined patterns, the platform analyzes contextual relationships to identify sensitive information that may span sentences, conversational turns, or unconventional formats. This approach is designed to handle challenging information such as ASR errors, OCR mistakes, handwritten forms, conversational disfluencies, multilingual content, and code-switching. Limina supports 52 languages and has been deployed across markets including the United States, Canada, United Kingdom, Germany, Japan, Hong Kong, Australia, and Switzerland. Organizations can deploy the software as a container inside their own VPC or on-premises infrastructure so data remains within their controlled environment during processing without third-party access or outbound calls. Real-time identification capabilities detect sensitive information as it appears, while data linking connects related entities and helps transform unstructured information into structured data for downstream use. Limina integrates with platforms and infrastructure including AWS, Azure, Snowflake, and NVIDIA NeMo, allowing organizations to incorporate de-identification into existing data workflows.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Cloudera
Hadoop
Microsoft Azure
Microsoft Power BI
Tableau

Integrations Supported

ChatGPT

API Availability

Has API

API Availability

Has API

Pricing Information

Contact PHEMI to learn about our value-based pricing.

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PHEMI Systems

Date Founded

2013

Company Location

Canada

Company Website

www.phemi.com

Company Facts

Organization Name

Limina AI

Company Location

Canada

Company Website

www.getlimina.ai/

Categories and Features

Big Data

Data Warehousing
High Volume Processing
Predictive Analytics

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

Not specified

Data Management

Data Analysis
Data Integration
Data Security
Information Governance

Data Masking

Not specified

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Policy Management
Risk Management
Sensitive Data Identification

Data Security

Data Classification
Data Discovery
Data Masking
Data-Centric Security
Encryption
Identity / Access Management
Policy Management
Sensitive Data Compliance

Hybrid Cloud Storage

Not specified

Categories and Features

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