AI model development requires extensive data for training and validation, but balancing data and model privacy presents challenges. Traditional methods of data exchange between AI teams and data providers often lead to impasses due to concerns over intellectual property and data security. Duality's Privacy Protected AI Collaboration solution, enhanced with Trusted Execution Environments (TEEs), offers a way for data vendors to provide secure and private data trials, allowing AI teams to validate datasets without exposing sensitive information. This approach facilitates faster sales cycles, reduces customer churn, and meets the growing demands of AI engineering teams by ensuring data privacy and security throughout the collaboration process. The platform encrypts data and models at the source, processes them securely within TEEs, and ensures that results are transmitted back without compromising confidentiality, thus providing a reliable framework for data collaboration that protects both the data provider’s and the AI model owner’s assets.