Events

Get access to some of our webinars on-demand and check out our speaking engagements!

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Previous Webinars

Data Privacy in Healthcare & Clinical Trials

Using AI to Unlock Insights While Staying Compliant

Launching Privacy-Preserving ML Projects with Private AI and LivePerson 

Cybersecurityand Privacy in Government in the Age of AI with Microsoft Canada

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Discussing ‘Language Modelling via Learning to Rank’ with Arvid Frydenlund

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Discussing ‘When the Curious Abandon Honesty: Federated Learning Is Not Private’ with Franziska Boenisch

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MLOps & Machine Learning Deployment at Scale with Luke de Oliveira

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Parameter Predictions and Training Without SGD ft. Prof. Graham Taylor

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Data Privacy, Law, and Cybersecurity with Carole Piovesan

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An Interview with Sheila Jambekar, CPO at Plaid

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Talking with Dr. Ann Cavoukian, Privacy by Design Inventor

Past Speaking Engagements

Our co-founders are leading experts on privacy-preserving natural language processing, machine learning edge deployment, model optimization, and more. Check out some of their past speaking engagements below. Interested in booking for them for your event, podcast, or publication? Contact us.

Building Customer Trust in the Generative AI Era

S3E1: “Privacy-preserving Machine Learning and NLP” with Patricia Thaine (Private AI)

Episode 3 – Navigating Privacy in AI with Patricia Thaine

Exploring Hallucinations with the CEO of Private AI Patricia Thaine

Episode 200: Patricia Thaine, Co-Founder & CEO of Private AI | Host: Julian Torres

An Introduction to AI and its Place in the Work Place with CEO of Private AI Patricia Thaine

Patricia Thaine – Privacy & AI – Interview at Ecosystems 2030 Ch3

Navigating Generative AI Ownership in Companies | Who Should Be in Charge

Protecting private personal information – Patricia Thaine, Private AI

ChatGPT & Privacy Risks with Patricia Thaine and Punit Bhatia in The FIT4Privacy Podcast E094 S4

Microsoft Expl(ai)n: “Can we trust AI?” with Patricia Thaine, Private AI

In Conversation with Patricia Thaine – CEO and Co-founder of Private AI
Privacy Podcast
Responsible AI, Tech Startup Journey & Funding Panel
Women in AI Ethics
The Importance of Privacy in NLP
World Summit AI Americas 
Deploying Transformers at Scale: Addressing Challenges and Increasing Performance

Machine Learning Prague 

AIP Podcast Episode 5 – Patricia Thaine, CEO of Private AI

AI Partnerships Corp. Podcast 

The Need for AI Privacy with Patricia Thaine, CEO of Private AI

Vux World Podcast

AI’s Wild West: Ethics and Artificial Intelligence

Communitech Critical Tech Talk 

Demystifying the De-Identification of Data – How to Protect your Organization’s Data

Canadian RegTech Association

Your privacy is my currency with Patricia Thaine

Catalog & Cocktails Podcast

Privacy Tech Talk: Private AI

Privacy Tech Talk Podcast

Developer Challenges in Preserving Privacy

Caveat Podcast

Deploying Transformers at Scale: Addressing Challenges and Increasing Performance

Toronto Machine Learning Summit

Big Data & Analytics Strategy at the Heart of Cybersecurity and Privacy

Toronto Machine Learning Summit

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Request an API Key

Fill out the form below and we’ll send you a free API key for 500 calls (approx. 50k words). No commitment, no credit card required!

Language Packs

Expand the categories below to see which languages are included within each language pack.
Note: English capabilities are automatically included within the Enterprise pricing tier. 

French
Spanish
Portuguese

Arabic
Hebrew
Persian (Farsi)
Swahili

French
German
Italian
Portuguese
Russian
Spanish
Ukrainian
Belarusian
Bulgarian
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
Greek
Hungarian
Icelandic
Latvian
Lithuanian
Luxembourgish
Polish
Romanian
Slovak
Slovenian
Swedish
Turkish

Hindi
Korean
Tagalog
Bengali
Burmese
Indonesian
Khmer
Japanese
Malay
Moldovan
Norwegian (Bokmål)
Punjabi
Tamil
Thai
Vietnamese
Mandarin (simplified)

Arabic
Belarusian
Bengali
Bulgarian
Burmese
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
French
German
Greek
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Italian
Japanese
Khmer
Korean
Latvian
Lithuanian
Luxembourgish
Malay
Mandarin (simplified)
Moldovan
Norwegian (Bokmål)
Persian (Farsi)
Polish
Portuguese
Punjabi
Romanian
Russian
Slovak
Slovenian
Spanish
Swahili
Swedish
Tagalog
Tamil
Thai
Turkish
Ukrainian
Vietnamese

Rappel

Testé sur un ensemble de données composé de données conversationnelles désordonnées contenant des informations de santé sensibles. Téléchargez notre livre blanc pour plus de détails, ainsi que nos performances en termes d’exactitude et de score F1, ou contactez-nous pour obtenir une copie du code d’évaluation.

99.5%+ Accuracy

Number quoted is the number of PII words missed as a fraction of total number of words. Computed on a 268 thousand word internal test dataset, comprising data from over 50 different sources, including web scrapes, emails and ASR transcripts.

Please contact us for a copy of the code used to compute these metrics, try it yourself here, or download our whitepaper.