Galois Multi-Party Computation (MPC) is a cryptographic protocol that enables multiple parties to jointly compute functions or analyze data without revealing their individual inputs to each other. The technology allows organizations to perform computations on encrypted data while maintaining the privacy of each participant's data throughout the collaborative analysis process. The protocol addresses the challenge of secure collaborative computation where organizations need to leverage sensitive data jointly without exposing confidential information. MPC prevents any participant from viewing other participants' individual data during the computation process, protecting against potential data breaches while enabling collective analysis and data-rich calculations. The solution is designed to help organizations meet regulatory compliance requirements for data privacy while enabling beneficial collaborations through joint data analysis. Organizations can access larger data pools and gain insights through partnerships without sacrificing data privacy, facilitating research collaborations, strategic alliances, and business processes that require secure data sharing. MPC operates by performing computations on encrypted data, ensuring that sensitive inputs remain confidential even during joint analysis. This approach provides a method for organizations to collaborate on data analysis while maintaining individual data confidentiality and meeting privacy protection standards.