NVIDIA has partnered with Anthropic to integrate its BioNeMo Agent Toolkit with Claude Science, launching an agentic AI workbench designed to accelerate computational research in the life sciences. Announced this week and entering public beta today, the integration bridges natural language prompting with high-performance GPU computing, enabling researchers to execute complex scientific workflows without manual configuration. At the core of the platform, Claude Science allows scientists to describe research objectives in plain language. The system interprets these prompts and orchestrates task execution through specialized, preconfigured agents. The newly integrated BioNeMo Agent Toolkit supplies these agents with callable, GPU-optimized skills that dictate workflow parameters, validate inputs, and route computations to NVIDIA NIM microservices deployed across any infrastructure. This architecture transforms static research tools into dynamic, agentic capabilities that adapt to specific domain requirements. The toolkit is engineered for scientific acceleration, providing direct access to NVIDIA-optimized models such as Evo 2, Boltz-2, and OpenFold3. By abstracting low-level software management, the platform establishes an iterative loop between human scientific reasoning and machine-executed computation. Researchers can rapidly cycle through tasks such as genomic analysis, protein structure prediction, and molecular design, reviewing outputs and refining queries in real time. A demonstrated use case involves high-throughput inhibitor design for oncology targets, where the system automates compound validation and optimization pipelines. Industry adoption underscores the strategic importance of the integration. Eighteen of the world’s top twenty pharmaceutical firms currently rely on NVIDIA BioNeMo for AI-driven drug discovery, genomics, and clinical research. The toolkit’s open, harness-agnostic design ensures compatibility across multiple agent frameworks, allowing scientific skills to function seamlessly beyond the Claude environment. NVIDIA has made the toolkit and its associated skills publicly available through developer portals and GitHub. As Claude Science enters public beta, Anthropic is actively soliciting feedback from the research community to expand domain-specific agents and refine enterprise integrations. The collaboration marks a significant step toward operationalizing agentic AI in life sciences, reducing technical friction and accelerating the translation of computational models into actionable biological insights.