Product
Limina
by Private AI
- Product website
- https://www.private-ai.com/
- Documentation
- https://docs.private-ai.com/
- Pricing
- https://www.private-ai.com/pricing
- Categories
- Data Privacy / Compliance Tooling
Description
Private AI’s Limina detects, redacts and replaces sensitive personal data in text, documents, images and audio.
AI-native score
How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?
Unrated. Only 38% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.
| Component | Raw | Weight | Contribution |
|---|---|---|---|
| Integration | 1/10 | 35% | 3.5 |
| Trust | 2/6 | 30% | 10.0 |
| Portability | 3/4 | 20% | 15.0 |
| Security | 0/4 | 15% | 0.0 |
Signals that fired
- Integration: SDK / developer kit (+1)
- Trust: Zero data retention (yes, +2)
- Portability: Standard protocol access (+1) ; No proprietary-SDK lock-in (+1) ; Self-hostable (+1)
Signals not researched
These gaps cover the fields used in the AI-native score.
- Integration surfaces: llms.txt, Headless signup, Native connectors, API specs
- Trust & data policy: Trust center, Multi-factor authentication, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Documented provider swap, Open source
- Security & compliance: Compliance certifications, Access controls
Trust & data policy
- Zero data retention
- Yes
- Standard protocol access
- Yes
- No proprietary-SDK lock-in
- Yes
- Self-hostable
- Yes
- Self-hosting guide
- https://docs.private-ai.com/container-quickstart/api-quickstart
Not yet researched Trust center, Multi-factor authentication, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Documented provider swap, Open source
What it does
Jobs to be done
-
View 4 productsDetect and redact personal data
Identify personally identifiable information in text and remove or mask it before downstream processing.
Integration surfaces
How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).
- WebMCP
- No
Developer kits
-
Limina Python client
Languages: Python
Confirmed absent MCP servers , Agent2Agent (A2A) servers , Command-line interfaces , Agent skills
Not yet researched llms.txt, Headless signup, Native connectors, API specs
Offers
Free
Free plan includes up to 75 API calls per day and 10 calls per minute; paid volume and custom pricing require a quote.
View offerReviews
No approved reviews yet.
Catalog activity
Track how this entry changes as proposals are opened and merged.
Related products
Products from other publishers that share a job-to-be-done or category, most-shared first.
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Same job: Detect and redact personal data (not assessed)
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Same job: Detect and redact personal data (not assessed)
-
Same job: Detect and redact personal data (not assessed)
-
Data Privacy / Compliance Tooling
Ready to decide?
Unrated · 38% researched. Grade withheld until more fields are verified.