Assess and monitor the risk of the SandboxAQ connector in Anthropic Claude, OpenAI Codex, and Microsoft Copilot.
Large Quantitative Models for scientific discovery
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SandboxAQ's Large Quantitative Models (LQMs) combine physics-based simulation with machine learning to accelerate drug discovery and materials innovation. Now, LQMs are accessible through large language models. Researchers can access frontier scientific AI in natural language, moving faster from hypothesis to breakthrough.
Tools the SandboxAQ Connector Exposes to Anthropic Claude
PromptArmor tracks connector risk across Claude, Codex, Copilot, and other MCP-enabled platforms. Book a demo to see the live connector risk dashboard for your environment.
Book a demoSearch the BioRender library, find your files, and generate new scientific figures directly from Claude.
Design antibiotics and prioritise vaccine targets against drug-resistant pathogens using EDEN, Basecamp Research's biological foundation model
Search, validate, and expand SNOMED CT concepts, directly from SNOMED International
Interact with 10x Genomics Cloud platform
The AWS API MCP Server lets AI assistants manage AWS resources using AWS CLI commands. It acts as a secure bridge, enabling creation, updates, and management across all AWS services.
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