OpenAI Launches Rosalind Academic Plan for GPT-Rosalind Access in Labs

OpenAI has introduced the Rosalind Academic Plan to expand access for academic scientists to GPT-Rosalind, a dedicated life sciences model paired with the Rosalind Workbench for specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance and other scientific applications. The plan initially offers eligible academic labs at U.S. universities up to 30 Business Standard seats at no cost for up to 12 months, with access subject to trusted-access approval. Research data shared through the program is not used by default to train OpenAI models. The initiative is intended to support foundational research that can inform disease diagnosis, medicine development and food systems, echoing the long-term impact of work such as the Human Genome Project, CRISPR-Cas9 genome editing and mRNA vaccines. Approved principal investigators and lab leads can activate access for named lab members and manage permissions, while also gaining access to other OpenAI frontier models included in the plan. API access is not included. Labs at universities with existing OpenAI Enterprise agreements must apply through their institution’s Enterprise access process, while other eligible labs can apply through OpenAI’s trusted-access process. OpenAI said the plan builds on a broader effort to reduce cost barriers for scientists and put specialized AI tools in more labs. Access to GPT-Rosalind is designed for deeper reasoning on complex biological questions and includes safeguards for sensitive scientific work. Safety monitoring continues after approval, with follow-up possible to clarify research context and detect misuse while aiming to reduce interruptions for authorized studies.