Private AI is a Canadian software company founded by privacy and machine learning experts from the University of Toronto. The company builds a linguistics-first platform designed to detect, redact, and anonymize personally identifiable information (PII) within unstructured data, enabling organizations to use sensitive data safely for AI, analytics, and operational purposes. The platform focuses on identifying and processing sensitive information across text-based, unstructured data sources. Its core capability is PII detection and de-identification, supporting use cases such as AI training data preparation, compliance with data privacy regulations, and enabling research on otherwise restricted datasets. The company has integrated with NVIDIA NeMo Guardrails, reflecting a focus on embedding privacy controls into AI pipelines. Private AI's primary target market includes healthcare and life sciences organizations, where unstructured clinical data (such as medical narratives and notes) must be de-identified before it can be used for research, operations, or AI development. The platform is designed to preserve clinical meaning while removing sensitive identifiers, enabling downstream analysis without compromising patient privacy. The company offers its technology via a Cloud API and supports on-premise deployment options. It has partnered with organizations such as Spirion and Replica Analytics to extend data protection and synthetic data capabilities. Private AI has been recognized by Gartner as a Cool Vendor in Privacy (2023) and named among the most innovative RegTech companies by RegTech100.