In privacy-sensitive industries like healthcare and finance, collaboration is often hindered by the need to protect sensitive data, leading to reluctance in data sharing due to risks like breaches or misuse. This limits the potential for improved outcomes through cooperative efforts. Our solution tackles this challenge by using Zero-Knowledge Proofs (ZKPs) to enable secure and private collaboration, allowing multiple parties to work together on tasks like machine learning or data analysis without exposing their sensitive data. This approach ensures trustless collaboration, where contributions can be verified without sharing actual data, thus overcoming barriers to cooperation and enhancing both efficiency and security in critical industries.