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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. Limina was named Private AI until a March 2026 rebrand.

5.8/10
Overall Score
Conditional recommend

Limina is a conditional de-identification option for teams that cannot send raw sensitive text to a vendor or a public model API.

Best for

Healthcare, insurance, and financial buyers that must de-identify sensitive text before analytics, training, or LLM use.

Not ideal for

Buyers that want a full privacy-rights workspace or a cookie-consent manager.

Verdict

Limina is a good fit for teams that need sensitive text de-identified in their own environment before analytics, training, or an LLM call. Pricing is specialized software territory and usually sales-led for on-customer-side deployments. Privacy teams who cannot send raw PII or PHI out speak to the need it fills; it is a conditional pick when on-prem de-identification is a hard requirement.

The company rebranded from Private AI to Limina on March 5, 2026, and said products and operations were unchanged.

Score Breakdown

How Limina scores in the categories that matter to its buyers.

Buyer outcomes

On-environment de-identification
6.0
PII, PHI, and PCI coverage
5.9
Fit before model use
5.8
Brand and evidence maturity
5.6

Company & commercial

Innovation & product leadership
5.9
Project management & communication
5.9
Pricing
5.5
Contract fairness
5.9

The Field at a Glance

Where Limina ranks among Trust, legal & compliance vendors we reviewed, by Overall Score and relative typical engagement cost.

9 8 7 6 Overall Score $ $$ $$$ $$$$ Relative typical engagement cost Credo AI Arthur Limina 5.8
Credo AI Arthur Limina

Limina is strongest for healthcare, insurance, and financial buyers that must de-identify sensitive text before analytics, training, or LLM use. It is toward the lower end of this peer set at 5.8. Relative typical engagement cost is toward the higher end of this set. On this broader parent-category chart, Credo AI leads on Overall Score at 7.3.

Use-case matrix

Use caseFitNotes
De-identify text before LLM useStrongThe privacy layer the product describes.
On-premises or customer-environment processingStrongThe deployment claim on the product pages.
DSAR and privacy-rights operationsWeakA broader privacy-ops suite.
Cookie consentWeakA consent-management product covers that.

Review Excerpts

Excerpts from public reviews and forum discussions of Limina, plus representative buyer views drawn from public information. Paid reviews and pay-for-play sites were excluded.

What people like

“Limina's integration was seamless and exactly what we needed to scrub all the PII out of our datasets.”

Wayne Foley, Senior Software Development Manager, Providence · Limina · source
What people like

“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.”

Sebastian Jimenez, Founder and CEO, Rilla · Limina · source
How it's used

“We run it over support transcripts and clinical notes before they reach an analytics warehouse or a model API.”

Privacy engineer at a healthcare technology company
Representative buyer view
What people don't like

“There is no public price list, so we needed a sales call before we could compare it with open-source redaction tools.”

Security analyst at an insurance company
Representative buyer view

Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.

Based on: Limina’s website and Limina’s rebrand announcement

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 fall 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

InputWeightWhat it covers
Reviews40%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 are out of scope.
Product35%Hands-on look at screens and workflows.
Pricing15%Whether the price looks fair for what you get.
Docs & training10%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 use-case matrix above.

Scope

Limina is graded here as privacy & compliance. Criteria scores can move as more review volume and product checks are added.

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