Your Best Data Is Off-Limits. Until Now.
Turn your most restricted data into a valuable asset. Limina's context-aware data de-identification understands what a rule never could. Nothing gets lost, your data stays useful.
.png)
.png)
Proven at Scale
99.5%
48 hours → minutes
Billions
Sound Familiar?
Cloud tools miss too much. DIY costs too much to maintain. And de-identification destroys the data you needed in the first place.
Cloud APIs aren’t cutting it
It started as a script
De-id killed the data
.avif)
Most tools match patterns. We read context.
Most PII tools match formats. We read context, catching names that don't look like names, entities across sentences, credit cards spoken across turns. Context stays intact, so your data stays valuable.
Limina Capabilities
De-identification that works across your structured and unstructured data in any language, at any scale.
50+ Entity Types
52 Languages
Your Infrastructure
Built for Messy Data
Plugs into Your Stack
What Our Customers Say
Trusted by enterprise leaders in healthcare, pharma, finance, and technology to activate regulated data safely.
Our platform reduces response time from days to minutes, but we couldn't have launched without proper anonymization. It was critical for compliance, especially to include US data, which represents one of our larger customer bases.
Now our PHI detection accuracy is through the roof and our privacy team is happy. Limina was remarkably easy to integrate into our existing workflows, which saved us a lot of time and effort compared to maintaining our in-house solution.
Limina's integration was seamless and exactly what we needed to scrub all the PII out of our datasets.
At Be My Eyes, we use data to make AI models more inclusive and accessible. Trustworthy PII detection is foundational to how we do that, and Limina gives us the accuracy and confidence we need to do so responsibly, at scale.
.png)
From all of the PIl redaction products we've seen out there (and believe me, we've seen them all), Limina is the best one by far in terms of accuracy, types of data that can be redacted, and model flexibility. After doing a side-by-side comparison, it quickly became clear to us that we couldn't go back to using something like AWS.
.png)
We're proving you don't need enormous models burning through resources to deliver real value. Similarly, Limina showed us you don't need to choose between robust privacy protection and practical scalability. With the right technology, you can have both.
Deploy Anywhere. Unlock Data at Scale.
Spot Sensitive Data the Moment It Appears
Real-time detection of PII, PHI, and PCI across 50+ entity types, with data linking that connects related information. Turn unstructured text into structured intelligence you can actually use.
Remove or Replace What Shouldn't Be There
Redact, pseudonymize, generate synthetic PII, or generalize entities in EMRs, call transcripts, chat logs, and more. Get outputs ready for expert determination without the wait.
Show Auditors Exactly What They Need
Independent expert determination reports give auditors the evidence they need for HIPAA, GDPR, CPRA, and other global regulations. Built by privacy experts. Accepted by compliance teams.
.webp)
Built for Regulated Industries
Audited, certified, and recognized by the institutions that regulate the data you work with.
.png)
Frequently Asked Questions
How accurate is Limina compared to manual redaction and other similar products?
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.
Does my data leave my environment?
No. Your data never leaves your infrastructure.
Limina deploys as a container in your on-premises environment or VPC. Everything runs locally, so sensitive data is 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.
What languages and data formats does Limina support?
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.
Which compliance standards does Limina meet?
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.
Can I use de-identified data for AI training, analytics, and data sharing?
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.