AI models grounded in the physical sciences and built for real-world impact.
AQCat Adsorption Spin enables researchers to lock in the first critical step of catalyst discovery and focus modeling and lab resources only on the most promising candidates.
It delivers near-DFT accuracy thousands of times faster, enabling cost-effective high throughput screening for the first time.
AQPotency enables researchers to virtually screen large compound libraries, predict binding potency against specific targets, and run reverse screens across known off-targets to surface early safety risks.
It delivers potency predictions with uncertainty and applicability domain assessments, helping teams reduce costly wet-lab screening and focus resources on the most promising compounds.
AQCat Dispersion will expand SandboxAQ's catalyst modeling capabilities to large, commercially vital molecules, allowing researchers to computationally screen catalysts across a wider range of reactions, faster and at a fraction of the cost of lab experimentation.
AQCell will enable researchers to computationally simulate how living cells respond to drug perturbations across thousands of candidates, predicting pathway-level efficacy and a "toxicity signature" of apoptosis pathway activation.
AQCat Adsorption Spin enables researchers to lock in the first critical step of catalyst discovery and focus modeling and lab resources only on the most promising candidates.
It delivers near-DFT accuracy thousands of times faster, enabling cost-effective high throughput screening for the first time.
AQCat Dispersion will expand SandboxAQ's catalyst modeling capabilities to large, commercially vital molecules, allowing researchers to computationally screen catalysts across a wider range of reactions, faster and at a fraction of the cost of lab experimentation.
AQPotency enables researchers to virtually screen large compound libraries, predict binding potency against specific targets, and run reverse screens across known off-targets to surface early safety risks.
It delivers potency predictions with uncertainty and applicability domain assessments, helping teams reduce costly wet-lab screening and focus resources on the most promising compounds.
AQCell will enable researchers to computationally simulate how living cells respond to drug perturbations across thousands of candidates, predicting pathway-level efficacy and a "toxicity signature" of apoptosis pathway activation.
*Offer available to first-time users of the SandboxAQ MCP server only. New users receive a one-time $2,000 promotional credit applied at sign-up, redeemable solely against usage of the SandboxAQ MCP server and valid across any available model. The credit must be used within 30 days of activating your trial; any unused portion expires at the end of that period and does not roll over. The credit has no cash value, is non-transferable, non-refundable, and cannot be exchanged for cash or applied to any other product, subscription, or fee. A valid payment method is required to activate your trial. Once your $2,000 credit is exhausted, or once the 30-day period ends — whichever comes first — standard usage-based pricing applies and your payment method will be charged for continued use of the SandboxAQ MCP server. Limit one credit per individual. SandboxAQ may modify, suspend, or end this offer at any time. Offer subject to the SandboxAQ Terms & Conditions.
