Launching today
Limina
Your Best Data Is Off-Limits. Until Now.
11 followers
Your Best Data Is Off-Limits. Until Now.
11 followers
Limina is a data de-identification platform built by linguists and privacy experts. Its context-aware NLP models detect and redact PII, PHI, and PCI across 50+ entity types and 52+ languages with 99.5%+ accuracy--less than half the error rate of leading alternatives. The platform deploys entirely within your own environment (on-prem, VPC, or any major cloud) so data never leaves your control. Trusted by Providence Health and Boehringer Ingelheim.
A live diff viewer where you can side-by-side compare the original and redacted text with each entity type color coded would make QA work so much faster. Right now I'm having to export and manually check samples, and being able to spot check redactions in the platform itself would save a ton of time for our compliance team.
A self-serve accuracy dashboard where teams can upload sample documents and see exactly which entity types get flagged or missed would be super helpful for evaluating fit before fully rolling this out.
The accuracy claims are bold but the multilingual support actually held up on my test docs, including some messy mixed-language files. Self-hosted deployment is the real win here for any team with strict data residency rules.
Finally tried Limina on a messy batch of clinical notes and the context-aware redaction caught things I would have missed. Running it in our own VPC without data leaving felt like the right setup from day one.