Private AI offers a context‑aware entity detection platform that redacts sensitive information—such as PHI, PII, and PCI—across text, JSON, audio, and multilingual content while preserving surrounding context for downstream use. The solution runs as a container inside the customer’s VPC or on‑premises, ensuring data never leaves the organization and meeting HIPAA, GDPR, and CCPA compliance. It supports over 50 entity types in 52 languages and can be fine‑tuned for industry‑specific terminology.
Funding
$8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
7OBVFounders
Product
Problem
Enterprises handling sensitive data such as PHI, PII, or PCI often rely on generic cloud APIs that either miss contextual identifiers or require sending data to external services, creating compliance risks and reducing data utility.
Solution
Limina provides a context‑aware entity detection platform that identifies and redacts sensitive information across text, JSON, audio, and multilingual content while preserving the surrounding context for downstream use. The solution runs as a container within the customer’s VPC or on‑premises environment, ensuring data never leaves the organization’s infrastructure and meeting HIPAA, GDPR, and CCPA requirements. It supports over 50 entity types and 52 languages, handling noisy inputs such as ASR errors, OCR mistakes, and handwritten forms. Customers can fine‑tune models to industry‑specific terminology and receive expert determination reports for regulatory validation. Deployment options include on‑premises, cloud marketplaces (AWS, Azure, Snowflake), and a SaaS variant.
Target Audience
Primary customers are regulated enterprises in healthcare, finance, legal, and other sectors that must protect PHI, PII, or PCI while retaining data value, including hospitals, insurers, banks, and multinational corporations.
Features
- Contextual entity detection that goes beyond pattern matching, capturing names, SSNs, credit cards, medical conditions, medications, passports, and other identifiers even when they appear in non‑standard formats
- Multi‑modal support for text, JSON, audio transcripts, and OCR‑derived content, robust to ASR errors and handwritten input
- Coverage of 50+ entity types across 52 languages, including code‑switching scenarios
- Containerized deployment that runs inside the customer’s VPC or on‑premises, guaranteeing data never leaves the organization
- Fine‑tuning capabilities for domain‑specific vocabularies such as clinical notes, legal contracts, or call‑center transcripts
- Integration assistance, onboarding support, and access to a technical team for accuracy tuning and workflow integration
- Optional expert determination reports providing audit‑ready validation of de‑identified data for HIPAA compliance