
Website, pricing, platforms and company facts side by side.
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In their own words, as submitted to SaaSHub.


Limina is a data de-identification platform built by linguists and privacy experts. Its context-aware NLP models detect and redact sensitive data across 60+ entity types, 50+ languages and 15+ formats, including text, images, audio and documents, with 99.5 percent accuracy on physician...
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As answered by people managing Limina AI and Diffee.
Limina AI's answer
The primary audience includes software developers, ML engineers, security teams, and compliance officers in highly regulated fields like healthcare, finance, and insurance.
Limina AI's answer
Limina is built on proprietary transformer-based Natural Language Processing (NLP) models, packaged into stateless Docker and Kubernetes containers, and integrated via a high-performance REST API.
Limina AI's answer
Limina AI's answer
Founded in 2019 as "Private AI" by computational linguist Patricia Thaine and Pieter Luitjens, the company built developer-first privacy tools. It rebranded to Limina in 2026 to better reflect its expansion into full-lifecycle data intelligence and governance for the enterprise AI market.
Limina AI's answer
Limina’s models de-identify and replace sensitive data without ruining its value for AI and analytics. It processes messy, unstructured data—like speech errors and OCR scans—across 52 languages with a verified 99.5% accuracy rate.
Limina AI's answer
You should choose Limina because its software runs entirely within your secure local environment (VPC or on-premise), ensuring no data leaks to third-party clouds. It also preserves data utility by replacing redactable text with realistic synthetic data rather than just blacking it out.
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