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Enterprise Layer Intelligence
Categories/Cybersecurity/Limina
Limina

Limina

Founded by Patricia Thaine in 2019

Identify, redact, and replace sensitive personal data across structured and unstructured datasets

Pricing model

Free

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Limina to detect, redact, and replace sensitive personal information across your organization's structured and unstructured files. The system runs directly within your private cloud or on-premises containers, ensuring your sensitive records never exit your local network. It detects over fifty categories of personal, medical, and financial data across fifty-two languages, including medical transcripts and noisy text. You can replace sensitive entities with synthetic details or redaction tags, keeping your internal datasets usable for machine learning training and analytics while meeting strict compliance rules.

What Limina does

Redact sensitive personal information from raw text filesGenerate synthetic identifiers to replace personal names and addressesScan unstructured documents for medical and financial identifiersDeploy data de-identification containers inside private cloud networksExtract structured entity reports from call logs and transcriptsVerify compliance readiness with automated privacy assessment reportsMask payment card numbers within customer chat logs in real timeDetects over 50 entity types across PII, PHI, and PCI recordsRuns inside local VPC or on-premise containers without external network callsSupports context-aware identification across 52 different languagesProvides pseudonymization, generalization, and synthetic data replacementHandles messy inputs including speech-to-text transcripts and OCR scansGenerates expert determination audit reports for privacy regulationsProcesses text, audio, images, and structured tables within one system

Pricing breakdown

Pricing model: Free

Frequently asked

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Limina, Private AI, PII redaction, PHI de-identification, PCI compliance, data anonymization, pseudonymization, HIPAA compliance, GDPR compliance, synthetic data, sensitive data discovery, containerized security