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Limina
Software that identifies, redacts, pseudonymizes, tokenizes, or replaces PII, PHI, and PCI in data, deployed in the customer's environment.
Healthcare, insurance, and financial buyers that must de-identify sensitive text before analytics, training, or LLM use.
Buyers that want a full privacy-rights workspace or a cookie-consent manager.
Verdict
Consider Limina when sensitive text has to be de-identified in your environment before analytics, training, or an LLM call. The product identifies, redacts, pseudonymizes, tokenizes, or replaces PII, PHI, and PCI in unstructured and structured data, and is sold so the data is processed on the customer side.
The company rebranded from Private AI to Limina on March 5, 2026, and said products and operations were unchanged. A Series A of $8 million was announced November 17, 2022.
Score Breakdown
How Limina scores on the jobs buyers hire it for, and on the company and commercial side of the deal.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| De-identify text before LLM use | Strong | The privacy layer the product describes. |
| On-premises or customer-environment processing | Strong | The deployment claim on the product pages. |
| DSAR and privacy-rights operations | Weak | A broader privacy-ops suite. |
| Cookie consent | Weak | A different compliance product. |
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“Limina's integration was seamless and exactly what we needed to scrub all the PII out of our datasets.”
“From all of the PII redaction products we've seen out there, 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.”
“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.”
Methodology
This page is an independent evaluation of Limina for buyers comparing options in privacy & compliance. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Limina did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for privacy & compliance)
- On-environment de-identification
- PII, PHI, and PCI coverage
- Fit before model use
- Brand and evidence maturity
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Limina is graded here as privacy & compliance. Criteria scores can move as more review volume and product checks are added.