Your Best Data Is Off-Limits. Until Now.

We tested approximately 45,000 words across multiple real-world domains, comparing Limina against major cloud providers' general-purpose PII detection tools. The results show why specialization matters.

General-purpose solutions miss between 13.8% and 46.5% of PII entities in real-world data. Limina misses between 0.2% and 7% across the same datasets. That difference is everything when missed PII can lead to data breaches, regulatory fines, and lost customer trust.

The biggest performance gap shows up in recall, which measures how much PII actually gets caught. Recall is the metric that matters most because every missed entity is a compliance risk. Six years of focused development on PII detection challenges produces fundamentally different results than general-purpose tools built for broader use cases.

We've gone head to head against other tools in POCs for the last 6 years, and the pattern holds: customers consistently choose Limina when they test accuracy on their own data.

Manual redaction is even worse. It's slow, expensive, and error-prone at scale. A major pharmaceutical company was spending 7 days on complex document redaction. With Limina, they reduced that to minutes while maintaining accuracy.

When a multinational insurance company tested other tools for Japanese data, they failed completely. Limina delivered the accuracy they were looking for.

Download our whitepaper for detailed methodology, results, and head-to-head comparisons.

No. Your data never leave your infrastructure.

Limina deploys as a container in your on-premises environment or VPC. Everything runs locally, so sensitive data are processed entirely within your existing security perimeter. No third-party cloud processing, no data transmission to external services (aside from simple usage statistics), not even to us.

This architecture meets data sovereignty requirements and gives you complete control over your compliance posture. Your data stay yours.

Limina works across 52 languages and multiple data formats: text, PDFs, images, audio, structured data, and more. We detect and de-identify 50+ entity types covering PII, PHI, and PCI across all supported languages.

We also support regional language varieties (like US/UK/Canadian English, or Spain/Mexico Spanish) and handle code-switching when people mix languages in the same sentence.

For the complete list of languages, entity types, and file formats, visit our documentation.

Limina supports compliance with HIPAA, GDPR, PCI-DSS, CPRA, APPI (Japan), Law 25 (Quebec), and other global privacy regulations.

We provide expert determination-ready outputs that meet HIPAA's de-identification standard. Through our partner network, we also deliver formal expert determination reports with statistical validation and audit-ready documentation. Major pharmaceutical companies use us for FDA filings, financial services firms for PCI compliance, and healthcare providers for HIPAA Safe Harbor and Expert Determination.

Our technology has been independently validated by Armilla AI (backed by SwissRe), and we've created expert determination reports with partners like AETION for real client deployments.

Yes. That's exactly what it's designed for.

De-identified data from Limina preserves utility while removing privacy risk. Customers use it to train LLMs, power analytics, build AI products, and share data with research partners or across teams.

Expert determination-ready outputs mean your data are defensible for research, commercial use, and regulatory submissions. You get data you can actually use, not just redacted text that destroys all the value.