Limina is an enterprise de-identification platform that detects and removes PII, PHI, and PCI from unstructured data without stripping the context that makes it valuable. Unlike pattern-matching tools that over-redact, Limina uses context-aware machine learning to identify sensitive information the way a trained human would. That's why it achieves less than half the error rate of AWS Comprehend, Google DLP, and Microsoft Presidio on real-world data. What Limina Detects 50+ entity types across PII, PHI, and PCI — names, SSNs, credit card numbers, medical conditions, medications, passport numbers, and international variants — across 52 languages including English, French, German, Spanish, Japanese, and Mandarin. How It's Deployed Limina deploys as a self-hosted container via REST API. Your data is processed entirely within your own infrastructure—never transmitted to Limina or any third party. Available as a CPU version for standard deployments or a GPU version for real-time and high-throughput workloads. Synthetic Data Generation Limina can replace detected PII with synthetic data that fits the surrounding context, preserving the statistical and linguistic integrity of your dataset for downstream AI training, analytics, and partner sharing. Limina's models are built and maintained by a team of linguists, data annotators, and privacy experts, and updated continuously to reflect evolving global privacy regulations. Get Started Try the text demo: https://docs.getlimina.ai/demo/text Try the file demo: https://docs.getlimina.ai/demo/file Get a free API key: https://portal.getlimina.ai/