Patricia Thaine 
I know first-hand how the enterprise data management landscape is evolving rapidly. Today, I’m thrilled to announce Private AI 4.0. This release redefines how healthcare businesses harness their unstructured data while maintaining fine-grained privacy controls and the highest standards of compliance. With Private AI 4.0, we are turning challenges into opportunities by enabling analytics confidently … Read more
Artificial intelligence and large language models (LLMs) are transforming the way we work, and the boundaries of data privacy are being tested like never before. While most organizations have measures in place to secure their proprietary algorithms and internal data repositories, there’s a growing challenge that can’t be overlooked: the uncontrolled sharing of Confidential Company … Read more
In the fast-evolving world of AI, where data is at the core of decision-making, one challenge remains constant: ensuring appropriate privacy and protection of an individual’s and an organization’s data. That’s why, in May 2023, we introduced PrivateGPT, a solution that securely redacts PII from user prompts before sending them to an LLM. Now, with … Read more
67% of government agencies have increased their financial commitment to digital transformation. Long lines and endless paper documents no longer suffice – citizens now expect public services with less hassle and technology seamlessly embedded. However, this increased reliance on technology makes government agencies and institutions prime targets for cyberattacks – 30% of public sector agencies struggle … Read more
How Are Governments Using Generative AI? Generative AI has found a multitude of use cases across industries. As of now, approximately 70% of companies are either experimenting with or actively implementing Generative AI into their operations. From content generation to data analysis and customer service automation, this technology is being harnessed to streamline processes and … Read more
Ethical AI in Government Government agencies face a unique challenge when it comes to regulating AI while simultaneously using it. They are bound by legal and ethical obligations to protect citizens’ rights and privacy; therefore, when employing AI, they must do so responsibly to uphold democratic values and protect individual rights. In the first part … Read more
What is Responsible AI? The promise of AI extends far beyond convenience. The technology holds the potential to revolutionize government operations, enhance cybersecurity, and transform citizen experiences, thus improving the quality of human life. However, just like a certain superhero’s mantra, “With great power comes great responsibility.” How can we harness this remarkable technology to … Read more
In response to growing consumer demand for privacy, Apple introduced App Tracking Transparency (ATT) as a feature in 2021, enabling users to choose whether or not apps on their devices could track them. Meta, getting caught in one of the first privacy-related shake-ups, opened February 2022 with the biggest stock drop in the history of … Read more
Large language models (LLMs) are a type of machine learning model that are trained on vast amounts of text data to generate human-like text. They are able to generate text that can be indistinguishable from text written by a human, and can be used for a wide range of natural language processing tasks such as … Read more
In today’s data-driven world, businesses are constantly collecting information from their customers in order to provide a better product or service, to understand and alleviate any pain points along their path to acquisition, to gain insights and create more efficient processes, and so much more. Data is often considered critical for modern organizations, but the … 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.
