Give your agents validated access to hosted molecular simulation, property prediction, and structure-based drug discovery workflows through an API-first platform.

Rowan is built for teams that want scientific computation to behave like infrastructure.
Use Rowan to run hosted workflows, retrieve structured results, trigger downstream steps, and bring scientists into the loop when judgment matters most.
Rowan returns structured machine-readable outputs your agents can consume directly—and gives scientists a visual interface for reviewing any structure, trajectory, or result when it matters.
Pay for scientific execution as you use it, with cost controls and analytics to prevent unexpected bills.
Run hosted scientific workflows without managing fragile toolchains or infrastructure. Execute jobs asynchronously and integrate via polling, streaming, or webhooks.
Keep full control over proprietary structures, workflows, and outputs. Deploy Rowan inside your VPC when security, compliance, or network requirements demand it.
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DFT, semiempirical QM, and neural network potentials for energetics, structure, and mechanism.

pKa, BDE, redox, Fukui indices, QM descriptors, and other design-relevant outputs.

Docking, batch docking, pose analysis, cofolding, and RBFE workflows for structure-based discovery.
Rowan helps internal platform teams, AI-native startups, and enterprise R&D groups give agents reliable access to scientific computation.
Add trusted scientific workflows to internal copilots and orchestration systems. Launch jobs asynchronously, retrieve structured outputs, and route selected results to scientists for review.
Hear what scientists have to say.
ArrePath uses Rowan as its quantum chemistry backend for Ariadne, our custom medicinal chemistry co-pilot AI. Rowan works alongside our internal ML tools as an integral part of our AI/ML drug discovery platform. It's a great tool for computing compound pKas, structures, and other molecular properties, and helps drive real-world compound prioritization and decision making.