OpenRefinery.ai is building AI systems that learn from the undocumented research process—the questions, dead ends, and judgment behind published results—rather than from papers alone. The company partners with researchers at leading universities to capture this hidden evidence and turn it into AI that accelerates scientific discovery. It also covers the costs of AI tools for researchers who choose to share their work.
Funding
Funding not disclosed
Founders
Product
Problem
Scientific AI models are trained primarily on published papers, which omit the actual research process—the failed experiments, dead ends, and human judgment that shape every result. This missing evidence limits AI's ability to truly understand and accelerate scientific discovery, leaving valuable insights locked in the undocumented work of researchers.
Solution
OpenRefinery.ai gathers the hidden evidence of research practice—questions, dead ends, and judgment calls—at new scale and turns it into AI that accelerates discovery. The company works directly with researchers at leading universities to identify cases where AI has the most to learn, and covers the costs of AI tools for researchers who choose to share their work. By capturing what papers never show, OpenRefinery.ai trains AI systems on the full research process rather than just its published outcomes.
Target Audience
Primary users are academic researchers at leading universities who want to contribute their research process data and gain access to AI tools that accelerate their scientific discovery work.
Features
- AI training grounded in undocumented research workflows, including failed experiments and decision-making processes
- Direct partnerships with researchers at Stanford, MIT, and other leading universities to identify high-value learning cases
- Cost coverage for AI tools provided to researchers who opt to share their research process data
- Focus on gathering evidence at new scale through structured research partnerships