GALI harnesses the power of artificial intelligence to design experiments from your ideas, providing realistic outcomes in a transparent, decentralized framework.
Gali AI assists in designing experiments by suggesting methodologies, controls, and variables based on historical data and successful experiments in similar fields.
Gali uses machine learning to design experiments based on user input, optimizing for efficacy and innovation.
Provides simulations and predictions of results, helping researchers understand potential outcomes before actual experimentation.
Leverages blockchain for secure, transparent collaboration, ensuring all contributions are recorded and respected.
Ensures user data privacy while allowing for open, controlled sharing within the DeSci community.
Gali learns from each experiment to enhance future
predictions and designs.
Integrates with existing scientific tools and databases
for a seamless research experience.
From individual projects to large-scale collaborations, Gali handles.
Opportunities for users to contribute code, data, or
ideas to the platform.