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Limina

Sensitive Data De-Identification for Enterprise AI

Description

About Limina

Limina, formerly known as Private AI, provides context-aware data de-identification technology for organizations working with sensitive structured and unstructured information. Its platform identifies and transforms personally identifiable information, protected health information, payment-card data, and other sensitive entities while preserving the usefulness and context of the remaining data.

The company’s technology can process text, documents, images, audio, transcripts, and structured data. It is designed to help regulated organizations use sensitive information for analytics, research, AI development, data sharing, and operational workflows without sending the original data outside their controlled infrastructure.

Platform & Solutions

Limina offers a container-based data de-identification engine that can be deployed within a customer’s virtual private cloud or on-premises environment.

Core capabilities include:

  • Detection of PII, PHI, PCI, and other sensitive information
  • Context-aware entity recognition across more than 50 entity types
  • Redaction, masking, pseudonymization, and entity replacement
  • Generation of synthetic replacement information
  • Processing of text, PDFs, images, audio, and structured data
  • Support for 52 languages and regional language variations
  • Integration with existing data pipelines, analytics environments, and AI workflows
  • Deployment within customer-controlled cloud or on-premises infrastructure

Best Fit Customers

Limina is best suited to organizations that need to analyze, share, or use sensitive information while limiting exposure of personal or confidential data.

Strong-fit customers include:

  • Healthcare providers and clinical-data teams
  • Pharmaceutical and life-sciences companies
  • Financial institutions and insurance companies
  • Contact centres processing customer conversations
  • Research organizations working with sensitive datasets
  • AI developers preparing private data for model training or retrieval
  • Enterprises sharing data across departments, partners, or jurisdictions
  • Privacy, governance, compliance, and data-engineering teams

Regions Served

North America, Europe, and Asia-Pacific. Limina reports deployments in the United States, Canada, the United Kingdom, Germany, Switzerland, Japan, Hong Kong, and Australia.

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