Enterprise AI Analysis
Introducing GPT‑Rosalind for life sciences research
Today, we’re introducing GPT‑Rosalind, our frontier reasoning model built to support research across biology, drug discovery, and translational medicine. The life sciences model series is optimized for scientific workflows, combining improved tool use with deeper understanding across chemistry, protein engineering, and genomics.
Executive Impact & Strategic Value
Advanced AI systems like GPT-Rosalind help researchers move through complex workflows faster, exploring more possibilities, surfacing missed connections, and arriving at better hypotheses sooner. This accelerates early discovery stages and leads to breakthroughs with a much higher rate of success, significantly reducing time to market and R&D costs.
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Reduction in Discovery Time
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Expert Performance (RNA Prediction)
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Integrated Scientific Tools
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
The GPT‑Rosalind life sciences model series is built for modern scientific work across published evidence, data, tools, and experiments. In our evaluations, it delivers the best performance on tasks that require reasoning over molecules, proteins, genes, pathways, and disease-relevant biology, and it is more effective at using scientific tools and databases in multi-step workflows such as literature review, sequence-to-function interpretation, experimental planning, and data analysis.
Accelerated Discovery Workflow
Literature Review
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Sequence-to-Function Interpretation
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Experimental Planning
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Data Analysis
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Grounded Discovery Decisions
We are working with leading pharmaceutical, biotechnology, and research customers, as well as life sciences technology organizations, to apply GPT‑Rosalind across workflows that drive discovery.
Amgen Collaboration Success
“The life sciences field demands precision at every step. The questions are highly complex, the data are highly unique, and the stakes are incredibly high. Our unique collaboration with OpenAI enables us to apply their most advanced capabilities and tools in new and innovative ways with the potential to accelerate how we deliver medicines to patients.”
—Sean Bruich, Senior Vice President of Artificial Intelligence and Data, Amgen
We evaluated GPT‑Rosalind across a range of capabilities fundamental to scientific discovery and industry research. These evaluations measure core reasoning across scientific subdomains, including chemical reaction mechanisms; protein structure, mutation effects, and interactions; and phylogenetic interpretation of DNA sequences.
| Capability | Traditional Models | GPT-Rosalind |
|---|---|---|
| BixBench Performance | Standard | Leading Performance |
| LABBench2 (CloningQA) | GPT-5.4 Base | Outperforms GPT-5.4 |
| RNA Prediction Task | Human Experts (Avg) | 95th Percentile |
| RNA Generation Task | Human Experts (Avg) | 84th Percentile |
Unprecedented Prediction Accuracy
95th %ile Performance vs. human experts in RNA predictionScientists can use our new Life Sciences research plugin for Codex, available today in GitHub. This package includes a broad set of modular skills for most common research workflows, designed to help users work across human genetics, functional genomics, protein structure, biochemistry, clinical evidence, and public study discovery.
Seamless Tool Integration
50+ Public Multi-omics Databases & Biology ToolsThe Life Sciences model is launching through a trusted-access deployment structure for qualified Enterprise customers in the U.S. to start, with controls around eligibility, access management, and organizational governance. We evaluate access based on three core principles: beneficial use, strong governance and safety oversight, and controlled access with enterprise-grade security.
Trusted Access Framework
Beneficial Use Validation
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Governance & Safety Oversight
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Controlled & Secure Access
Project Your ROI
Estimate the potential return on investment for integrating advanced AI solutions into your enterprise research workflows.
Projected Annual Savings
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Hours Reclaimed Annually
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Your AI Transformation Roadmap
Our structured approach ensures a smooth, impactful integration of GPT-Rosalind into your existing research infrastructure, from initial strategy to scaled operations.
Discovery & Strategy
Comprehensive assessment of your current research workflows, identification of high-impact AI integration points, and development of a tailored strategic roadmap.
Pilot & Customization
Deployment of GPT-Rosalind in a controlled pilot environment, fine-tuning of models for your specific data and research domains, and seamless integration with existing tools.
Training & Rollout
Training for your research teams, iterative feedback cycles, and phased rollout across departments to ensure maximum adoption and efficiency gains.
Optimization & Scaling
Ongoing performance monitoring, continuous model improvement, and strategic expansion to unlock new research capabilities and maintain competitive advantage.
Ready to Accelerate Your Discovery?
Connect with our Life Sciences AI experts to discuss how GPT-Rosalind can drive unprecedented efficiency and innovation in your research pipeline.
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