This service is a platform that helps researchers generate literature-grounded synthetic data in minutes. I created it to make high-quality synthetic datasets quick and affordable to produce, after finding that existing tools were too complex and time-consuming. The platform condenses the research process into a streamlined pipeline that uses AI to extract key parameters from research papers, allowing machine learning researchers to generate datasets that closely resemble real-world data. It includes built-in templates for common datasets and a feature that lets users upload sample data for augmentation, all while keeping the user experience simple and easy to manage. I am now looking to sell the platform because I believe it has strong potential and I am not in a position to develop it to the level of success it deserves. Key Highlights ✅ Generates literature-grounded synthetic datasets in minutes. ✅ Designed to make high-quality synthetic data quick and affordable to produce. ✅ Uses AI to extract parameters directly from research papers. ✅ Helps machine learning researchers create datasets that closely resemble real-world data. ✅ Includes built-in templates for common dataset types. ✅ Allows users to upload sample data for augmentation. ✅ Focuses on a simple, streamlined, and manageable user experience. ✅ Currently offered for sale due to its strong potential and the creator’s limited capacity to scale it.