Private AI 
RAG is a popular approach that improves the accuracy of LLMs by utilizing a knowledge base. In this blog post, we illustrate how to implement RAG without compromising the privacy of your data. What is RAG Large language models, such as OpenAI’s gpt-4-turbo and Anthropic’s Claude-3,are very powerful assistants that help us carry out different … Read more
Acceptable Use Policy Last updated January 2024 Private AI Inc.’s (“we”, “our”, or “PAI”) mission is to build the privacy layer for software. Our team strives for product perfection, while building a culture imbued with generosity, continuous teaching, learning and feedback, and celebrations of each others’ successes. This Acceptable Use Policy (as amended, restated, modified, … Read more
TORONTO, December 6, 2023 – Private AI, a leading provider of privacy-preserving software solutions, has been recognized as one of the RegTech100 for the second year in a row. The 2024 list showcases the most innovative and disruptive businesses in the regulatory technology space that are seeking to help financial institutions manage the fast-paced changes … Read more
In the first part of this blog series, we discussed data privacy in Germany and the various obstacles associated with redacting Personally Identifiable Information (PII) in the German language. Now, in the second installment, we further explore the multifaceted landscape of German data privacy, shedding light on challenges that emerge not just from linguistic intricacies, … Read more
Sensitive and personally identifiable data elements contained in images and PDFs can be automatically redacted to safeguard against unauthorized views. TORONTO, October 12, 2023 – Private AI, a leading provider of data privacy software solutions backed by Microsoft’s venture fund, has announced a strategic partnership with Spirion, a pioneer in sensitive data governance, to integrate … Read more
We believe Private AI’s capabilities using machine learning to reduce privacy risks was a key reason for the acknowledgement. TORONTO, August 29th, 2023 – Private AI, the leading provider of data privacy software solutions, has been named a Cool Vendor in Gartner’s “Cool Vendors in Privacy, 2023” (August 2023) report by Bart Willemsen, Bernard Woo … Read more
TORONTO, August 3, 2023 – Private AI, a leading provider of data privacy software solutions, and Datastreamer, a platform that is revolutionizing unstructured data adoption, are pleased to announce a new partnership. With 80% to 90% of daily data generation being unstructured, it’s more crucial than ever for businesses to leverage this massive, untapped resource. … Read more
• The World Economic Forum announces selection of the 100 most promising Technology Pioneers, companies that are tackling such issues as sustainability, climate change and healthcare. • Private AI, the privacy layer for software and generative AI, is among the winners. • This year’s cohort includes representation from 31 economies on six continents. • The … Read more
Privacy and ethics concerns around ChatGPT make the news every week, whether it’s the temporary ban of ChatGPT in Italy, the investigation launched against ChatGPT by the Canadian Office of the Privacy Commissioner, or the stream of individuals’ observations regarding discriminatory, biased, or otherwise harmful output by ChatGPT and other large language models (LLMs). Confronted … Read more
TORONTO, MAY 25, 2023 – Private AI, a leading provider of data privacy software solutions, and Replica Analytics Ltd., an Aetion® company, the leading Synthetic Data Generation technology provider for the healthcare industry, are pleased to announce a new partnership. The need for a privacy-preserving solution in healthcare is urgent and this strategic partnership aims … Read more
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!
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
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.
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.
