The Starchart Protocol is fundamentally about two things: Finding crucial missed connections: from life-saving research to breakthroughs in machine learning. Empowering ethical teams to build both stronger, and deeply predictable Large Language Model. This is powered by a suite of proprietary data products. We encourage both those who train large language models, as well as ethical researchers of any field to sign up and experiment with our products.

For ethical researchers: Our UKS maker provides an unprecedented chance for large language model accuracy in science and thus viability in scientific research. Citations, up to date information, as well as coherent access to scientific knowledge. Our system has been built specifically to address the issue of combinatorial complexity in research, and to surface the insights waiting to be discovered. This is for now, at its strongest, a fairly robust hypothesis generation system. Follow up questions can yield solid implementation suggestions. It functions dual purpose as a hypothesis confidence scoring system, if used correctly.

For those who train: We're building a fundamentally new form of training data, as well as a secondary, highly novel form of data. Both of these represent significant innovations within the field.

As our understanding of the space increases full access to our databases and tools, both validated and experimental, are made available to all enterprise customers.

We look forward to exploring these new possibilities together.