Private AI
Private AI provides cutting edge Machine Learning models that are the best in the world at finding, redacting, and pseudonymizing PII from semi- and unstructured datasets. Their models hit 99%+ accuracy in 7 languages across over 50 different entity types, and deploy as a Docker container with out partners' existing infrastructure so that data never leaves their environment and is never shared with us. Ever.
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VENTURE BEAT: Data privacy provider Private AI, announced the launch of PrivateGPT, a “privacy layer” for large language models (LLMs) such as OpenAI’s ChatGPT. The new tool is designed to automatically redact sensitive information and personally identifiable information (PII) from user prompts.
Private AI’s solution gets to the root of the problem by identifying, removing, and replacing personal data with an unparalleled level of accuracy. With $8 million secured in Series A funding, they have begun expanding their operations across Europe and investing in product enhancements, such as the forthcoming self-service platform.
Private AI, a Toronto based developer of privacy-preserving machine learning and natural language processing tools, has secured $3.15 million in seed funding led by Microsoft’s venture fund M12 and Forum Ventures with participation of pre-seed investor Differential Ventures, new investors Shasta Ventures, Hyperplane Venture Capital, and Parliament Angels, a group of early Twilio employees.
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Private AI provides cutting edge Machine Learning models that are the best in the world at finding, redacting, and pseudonymizing PII from semi- and unstructured datasets. Their models hit 99%+ accuracy in 7 languages across over 50 different entity types, and deploy as a Docker container with out partners' existing infrastructure so that data never leaves their environment and is never shared with us. Ever.