The scientific execution layer for agentic R&D

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

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Built for production scientific systems

Rowan is built for teams that want scientific computation to behave like infrastructure.

Client
3/3 jobs to send
GUI
Rowan web server
Database
Autoscaling backend
Worker 1
Idle
Worker 2
Idle
Worker 3
Idle

Turn model outputs into real scientific work

Use Rowan to run hosted workflows, retrieve structured results, trigger downstream steps, and bring scientists into the loop when judgment matters most.

Structured, inspectable results

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.

Usage-based billing for API-native teams

Pay for scientific execution as you use it, with cost controls and analytics to prevent unexpected bills.

Reliable, scalable workflow execution

Run hosted scientific workflows without managing fragile toolchains or infrastructure. Execute jobs asynchronously and integrate via polling, streaming, or webhooks.

Data ownership and control for proprietary programs

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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Scientific coverage for agentic workflows

Scientific simulation workflows

Scientific simulation workflows

DFT, semiempirical QM, and neural network potentials for energetics, structure, and mechanism.

Validated molecular property workflows

Validated molecular property workflows

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

Drug-discovery execution workflows

Drug-discovery execution workflows

Docking, batch docking, pose analysis, cofolding, and RBFE workflows for structure-based discovery.

Trusted by

11,000+

scientists

Over

2.5 million

calculations run

Cited by

40+

preprints and papers

See how teams use Rowan

Rowan helps internal platform teams, AI-native startups, and enterprise R&D groups give agents reliable access to scientific computation.

Internal platform teams

Add trusted scientific workflows to internal copilots and orchestration systems. Launch jobs asynchronously, retrieve structured outputs, and route selected results to scientists for review.

Accelerate your AI-powered research

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.
Kurt Thorn
AI for therapeutics
CTO, ArrePath