Anthropic has launched the public beta of Claude Science, a new artificial intelligence workbench designed specifically for scientific research. A key feature of the platform is its native integration with the NVIDIA BioNeMo Agent Toolkit, enabling researchers to access high-performance computing resources through natural-language conversations and significantly accelerating computational life sciences workflows.
AI workbench designed for scientists
Claude Science is intended to simplify complex research by allowing scientists to interact directly with specialised AI agents using everyday language. Instead of manually configuring software pipelines or writing extensive code, researchers can instruct digital agents to perform complete research workflows, from analysing biological data to running computational models.
The platform is designed to support collaborative research, enabling scientists to focus more on scientific questions while AI handles many of the underlying technical processes.
Anthropic describes the workbench as a tool that bridges advanced artificial intelligence with modern scientific computing.
Integration with NVIDIA BioNeMo
At the centre of the new capability is the integration with NVIDIA’s BioNeMo Agent Toolkit. The toolkit provides access to powerful computational resources that can be called directly from within the Claude Science environment as AI “skills”.
This allows researchers to launch complex computational biology tasks through simple natural-language instructions. High-performance computing infrastructure can therefore be utilised without requiring users to interact directly with traditional command-line interfaces or specialised programming environments.
The integration is expected to benefit research areas including drug discovery, protein engineering, genomics, molecular modelling and biomedical data analysis.
Accelerating scientific discovery
Artificial intelligence is becoming an increasingly important component of life sciences research, where analysing massive biological datasets often requires substantial computing power. By combining conversational AI with advanced computational infrastructure, Anthropic and NVIDIA aim to reduce the time needed to complete research workflows.
Scientists can potentially automate repetitive analytical tasks, rapidly test hypotheses and explore multiple research scenarios while maintaining human oversight of scientific decision-making.
Developers say the approach is designed to complement researchers rather than replace them, allowing experts to devote more time to interpretation, experimentation and innovation.
Growing role for AI in research
The launch of Claude Science reflects a broader trend across academia and industry, where artificial intelligence is becoming deeply integrated into scientific research. Pharmaceutical companies, biotechnology firms and research institutions are increasingly deploying AI to accelerate drug development, improve disease modelling and analyse complex biological systems.
NVIDIA’s BioNeMo platform has already become an important component of many computational biology initiatives by providing tools optimised for molecular biology and biomedical research. Its integration with Claude Science further expands access to these capabilities through a more intuitive interface.
As the public beta progresses, Anthropic is expected to gather feedback from researchers worldwide while continuing to develop additional scientific capabilities. The collaboration highlights the growing convergence of conversational AI, high-performance computing and life sciences, opening new possibilities for faster and more efficient scientific discovery.
Newshub Editorial – Technology – 4 July 2026

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