The Mission

PrivAI aims to bridge the gap, where companies lack clear guidelines and tools to systematically detect and mitigate sensitive data in their training pipelines. By providing expert consulting services to identify, remove, and protect sensitive data within training datasets, PrivAI ensures compliance and ethical AI development. Using cutting-edge techniques like PII scrubbing, differential privacy, and unlearning, PrivAI helps companies safeguard user privacy while staying ahead of evolving regulations.

The Challenge

Large Language Models (LLMs) are rapidly transforming industries, but their legal and ethical implications remain murky. While AI-specific regulations are still evolving, existing laws like GDPR and CCPA already impose strict requirements on data privacy. Many LLMs are trained on vast datasets that may contain copyrighted material or personally identifiable information (PII), often overlooked by companies focused on rapid deployment rather than compliance. However, failing to address these issues can lead to serious legal consequences, reputational damage, and ethical breaches.

The solution

To prevent companies from using copyrighted or personal data in their LLM applications, we take a comprehensive, privacy-first approach. If an LLM is already deployed, we collaborate with its developers to analyze the training data, quantify the presence of sensitive information, and determine the most effective mitigation strategy—whether state-of-the-art PII scrubbing, differential privacy, or unlearning (ideal when retraining is costly or the sensitive data volume is minimal). If the LLM is still in development, we guide companies in building it with privacy at the core, ensuring compliance and ethical AI from the ground up.