Private AI
Founded Year
2019Stage
Incubator/Accelerator - IV | AliveTotal Raised
$10.79MMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-124 points in the past 30 days
About Private AI
Private AI focuses on privacy solutions in the technology sector, particularly in the identification, redaction, and replacement of personally identifiable information (PII) in various data formats. The company provides services such as PII detection, de-identification, synthetic PII generation, and tokenization and pseudonymization, aimed at protecting sensitive data and ensuring compliance with privacy regulations. Private AI serves sectors that require data privacy measures, including healthcare, banking, insurance, and organizations that use large language models. It was founded in 2019 and is based in Toronto, Canada.
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Private AI's Product Videos
ESPs containing Private AI
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The data anonymization & de-identification market provides tools, technologies, and services for anonymizing and de-identifying sensitive information in datasets. Companies in this market help organizations remove personally identifiable information (PII) from the data they collect to protect user privacy and achieve regulatory compliance. The market addresses the growing need for organizations to…
Private AI named as Leader among 7 other companies, including K2View, Protegrity, and Shaip.
Private AI's Products & Differentiators
Private AI De-Identification
Private AI provides an enterprise-grade, AI-driven solution for de-identifying unstructured healthcare data, ensuring compliance with privacy regulations like HIPAA and GDPR. Using advanced natural language processing (NLP) and synthetic data techniques, it detects and redacts personally identifiable information (PII) and protected health information (PHI) from clinical notes, images, transcriptions, and other unstructured sources. By preserving data utility while safeguarding privacy, Private AI enables healthcare organizations to unlock valuable insights, improve decision-making, and enhance research capabilities.
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Research containing Private AI
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Private AI in 2 CB Insights research briefs, most recently on Feb 20, 2024.
Feb 20, 2024
The AI training data market map
Aug 31, 2023
The responsible AI market mapExpert Collections containing Private AI
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Private AI is included in 3 Expert Collections, including Conference Exhibitors.
Conference Exhibitors
5,302 items
AI 100 (All Winners 2018-2025)
100 items
Artificial Intelligence (AI)
20,894 items
Private AI Patents
Private AI has filed 2 patents.
The 3 most popular patent topics include:
- artificial neural networks
- data management
- knowledge representation
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
4/12/2024 | 3/25/2025 | Metadata, Data management, Natural language processing, Artificial neural networks, Knowledge representation | Grant |
Application Date | 4/12/2024 |
|---|---|
Grant Date | 3/25/2025 |
Title | |
Related Topics | Metadata, Data management, Natural language processing, Artificial neural networks, Knowledge representation |
Status | Grant |
Latest Private AI News
Oct 2, 2025
Inom loppet av några månader rusade värdet på den privata AI-jätten. Nu har bolaget slutfört en aktieförsäljning för anställda som skjuter värderingen till en rekordnivå. Affären gör att företaget nu värderas högre än elbilsprofilens rymdbolag, skriver Bloomberg. Den snabba.
Private AI Frequently Asked Questions (FAQ)
When was Private AI founded?
Private AI was founded in 2019.
Where is Private AI's headquarters?
Private AI's headquarters is located at 428-192 Spadina Avenue, Toronto.
What is Private AI's latest funding round?
Private AI's latest funding round is Incubator/Accelerator - IV.
How much did Private AI raise?
Private AI raised a total of $10.79M.
Who are the investors of Private AI?
Investors of Private AI include C100, Forum Ventures, M12, Differential Ventures, Shasta Ventures and 17 more.
Who are Private AI's competitors?
Competitors of Private AI include Teleskope, Tonic AI, CalypsoAI, CUBIG, Brighter AI and 7 more.
What products does Private AI offer?
Private AI's products include Private AI De-Identification and 1 more.
Who are Private AI's customers?
Customers of Private AI include Crisis Text Line, Providence and Spring Health.
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Compare Private AI to Competitors
Syntonym provides anonymization technology for machine vision within the privacy technology sector. The company offers solutions that allow camera-based systems to process visual data without exposing personal information, by using real-time technology to anonymize faces and license plates while maintaining data utility. Syntonym's products assist organizations in complying with privacy regulations like GDPR and CCPA, and are relevant to industries including automotive, robotics, and large language models. It was founded in 2019 and is based in London, England.
YData is a company that provides services related to data quality and management for data science and AI development. Their main offerings include synthetic data generation, data profiling, and preparation pipelines. YData's solutions are utilized by sectors such as financial services, telecommunications, healthcare, and retail. It was founded in 2019 and is based in Seattle, Washington.
Anonos provides data protection solutions for unstructured data within large language model (LLM) workflows, operating in the data privacy and security sector. The company's offerings include reversible tokenization, access control, and policy adaptations to comply with regulations such as GDPR and HIPAA. Anonos serves sectors that require data protection, including financial services, healthcare, and technology enterprises. It was founded in 2012 and is based in New York, New York.
Betterdata provides data privacy solutions. It offers data privacy solutions, including product development and testing, data collaborations, data privacy verification, imbalance mitigation, and more. The company was founded in 2021 and is based in Singapore.
CUBIG focuses on artificial intelligence technology and data security solutions in the AI and data security sectors. The company offers services including synthetic data generation, data integration, and a marketplace for synthetic datasets, aimed at maintaining data privacy. Its main clients are sectors that need secure and private data for AI applications, such as manufacturing, finance, and healthcare. The company was founded in 2021 and is based in Seoul, South Korea.
Mostly AI specializes in creating synthetic data within the technology and data security sectors. The company offers a platform and an open-source Software Development Kit (SDK) that enables organizations to generate, analyze, and share synthetic data, allowing for data insights and collaboration. Mostly AI's solutions support applications such as machine learning (AI) machine learning (ML) model training, software testing, and data sharing, while addressing privacy regulations. It was founded in 2017 and is based in Vienna, Austria.
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