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.
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.
Patricia Thaine is a Computer Science Ph.D. Candidate at the University of Toronto and a Postgraduate Affiliate at the Vector Institute doing research on privacy-preserving natural language processing, with a focus on applied cryptography. Her research interests also include computational methods for lost language decipherment.
She is the Co-Founder and CEO of Private AI, a Toronto- and Berlin-based startup creating a suite of privacy tools that make it easy to comply with data protection regulations, mitigate cybersecurity threats, and maintain customer trust.
There exists a vibrant ecosystem of specialized security tools. The sad truth is that it is almost impossible to reach 100% invulnerability.
