PrivateAI
PrivateAI, operating under the brand Limina, is a Canadian data de-identification company founded in 2017.
Profile
PrivateAI sells AI-powered software that automatically detects and removes personally identifiable information from text documents to enable safe data sharing and analytics.
PrivateAI, operating under the brand Limina, is a Canadian data de-identification company founded in 2017. The company provides software that automatically removes personally identifiable information (PII) from unstructured text, such as clinical notes, insurance claims, and legal documents. Its core product uses context-aware AI to identify and redact sensitive data while preserving the utility of the original document for analytics, research, or sharing.
The company's website lists Boehringer Ingelheim, Zurich Insurance, and MUFG Bank as customers. PrivateAI has not disclosed its revenue, headcount, or recent funding rounds in the available dossier. The company operates in the infrastructure sector, targeting regulated industries that handle large volumes of sensitive text.
Its technology competes with other data privacy and anonymization vendors, including BigID, OneTrust, and Duality Technologies. The company's focus on healthcare and financial services reflects the high regulatory burden in those sectors. PrivateAI has not been covered by major tech or business publications in the past year, and its financial trajectory remains opaque.
The company's most notable recent activity is the rebranding of its product to Limina, as seen on its website. The broader data privacy market continues to grow due to regulations like GDPR, HIPAA, and CCPA, but PrivateAI faces competition from both established players and open-source alternatives.
Who buys this
- Healthcare providers and hospital systems needing to de-identify patient records for research or analytics
- Insurance companies processing claims and underwriting documents containing personal data
- Financial institutions handling customer communications, loan applications, and transaction records
- Legal firms and corporate legal departments managing contracts and case files with sensitive information
Publicly disclosed clients
- Boehringer Ingelheim
- Zurich Insurance
- MUFG Bank
Strengths and what to watch
Strengths
- Context-aware AI de-identification that preserves data utility better than simple rule-based redaction, as demonstrated by the clinical note example on the company website
- Named enterprise customers in healthcare, insurance, and banking (Boehringer Ingelheim, Zurich Insurance, MUFG Bank) indicating cross-industry traction
- Product available as a free trial, lowering the barrier for potential customers to evaluate the technology
Watch for
- No publicly disclosed revenue, funding, or headcount data, making it difficult to assess financial health or growth trajectory
- Competition from well-funded data privacy platforms like BigID, OneTrust, and Duality Technologies, as well as open-source de-identification tools
- Lack of recent media coverage or independent product reviews, suggesting limited market visibility or validation outside the company's own website
Key Information
- Industry
- Privacy & Security
- Founded
- 2017
Frequently Asked Questions
What does PrivateAI do?
PrivateAI sells AI-powered software that automatically detects and removes personally identifiable information from text documents. This enables safe data sharing and analytics, particularly for regulated industries like healthcare, insurance, and finance that handle sensitive unstructured text.
How does PrivateAI's context-aware AI de-identification work?
PrivateAI uses context-aware AI to identify and redact personally identifiable information in unstructured text, such as clinical notes or legal documents. Unlike simple rule-based methods, this approach preserves the utility of the original document for analytics, research, or sharing while removing sensitive data.
Who are PrivateAI's notable customers?
PrivateAI lists Boehringer Ingelheim, Zurich Insurance, and MUFG Bank as customers on its website. These enterprise clients span healthcare, insurance, and banking, indicating cross-industry traction for its data de-identification software in regulated sectors with high privacy requirements.
What industries does PrivateAI serve?
PrivateAI targets healthcare providers, insurance companies, financial institutions, and legal firms. These industries handle large volumes of sensitive text, such as patient records, claims, loan applications, and contracts, and face strict regulations like HIPAA, GDPR, and CCPA that require data de-identification.
Who are PrivateAI's main competitors?
PrivateAI competes with data privacy platforms like BigID, OneTrust, and Duality Technologies, as well as open-source de-identification tools. These vendors offer similar capabilities for detecting and redacting personally identifiable information, but PrivateAI differentiates with its context-aware AI approach for unstructured text.
Is PrivateAI's product available for a free trial?
Yes, PrivateAI offers a free trial of its product on its website. This lowers the barrier for potential customers to evaluate the technology before committing. The trial allows users to test the context-aware AI de-identification on their own documents to assess data utility preservation.
Sources
- www.private-ai.com — Company product description, customer logos (Boehringer Ingelheim, Zurich Insurance, MUFG Bank), and clinical note de-identification example
- ir.priviahealth.com — Privia Health Q1 2026 financial results (unrelated to PrivateAI; included in dossier but does not support PrivateAI facts)
- www.perplexity.ai — Earnings calendar showing June 5, 2026 date (unrelated to PrivateAI)
- golubcapital.com — Golub Capital Middle Market Report Q1 2026 (unrelated to PrivateAI)
- www.linkedin.com — SaaS VC Report 2026 (unrelated to PrivateAI)
- techcrunch.com — TechCrunch homepage showing June 5, 2026 articles (unrelated to PrivateAI)
- www.reuters.com — Reuters article on AI data center financing (unrelated to PrivateAI)