SandboxAQ has announced the integration of its Large Quantitative Models (LQMs) with Anthropic’s Claude through MCP, enabling researchers to access advanced scientific AI models using natural language prompts instead of specialized coding expertise. The partnership expands SandboxAQ’s AI models across various fields. These include drug discovery, materials science, energy, and finance. These areas are part of the “quantitative economy.” Users can now directly engage with complex models. These models use scientific equations, lab data, and quantum chemistry simulations. This speeds up research workflows and lowers technical barriers. At first, users can access AQCat Adsorption Spin.
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This model helps speed up catalyst discovery by quickly calculating adsorption energy. This is crucial for evaluating catalyst performance in sustainable fuels, hydrogen, and recycling plastics. SandboxAQ also revealed plans to bring additional pharmaceutical-focused models, including AQPotency and AQCell, to Claude in the near future. “Now, researchers can access frontier physics-based models directly inside the AI tools they already use, with no additional infrastructure, code or barriers,” said Jack D. Hidary, CEO of SandboxAQ. Industry experts noted that combining conversational AI with quantitative scientific models could dramatically shorten discovery timelines and improve accessibility for researchers across scientific disciplines.