About Rowan

Rowan provides a molecular design and simulation platform that utilizes machine-learned interatomic potentials to rapidly predict molecular properties and behaviors. This technology enables scientists in drug discovery and materials science to efficiently design and analyze complex molecules, significantly reducing the time and resources required for research and development.

```xml <problem> Traditional molecular design and simulation methods are computationally expensive and time-consuming, hindering the rapid development of new drugs and materials. Building in-house computational infrastructure and expertise can be a significant barrier for many organizations. </problem> <solution> Rowan provides a web-based platform that simplifies molecular design and simulation by leveraging machine-learned interatomic potentials. This allows scientists to quickly predict molecular properties and behaviors, accelerating research and development in drug discovery and materials science. The platform offers pre-built workflows and a Python API, enabling users to design, simulate, and analyze molecules and materials without needing extensive computational chemistry expertise or infrastructure. Rowan's technology delivers results in seconds, facilitating faster iteration and more informed decision-making. </solution> <features> - Web-based interface for designing, simulating, and analyzing molecules and materials - AIMNet2 neural network potential for fast and accurate computational chemistry simulations - Workflows for predicting pKa values, optimizing geometries, and searching for low-energy conformers - 3D molecule editor for drawing and editing molecules in the browser - Python API for scripting custom workflows and integrating with existing tools - Visualization tools for electrostatic potential, electron density, molecular orbitals, and spin density - Secure data encryption in transit and at rest </features> <target_audience> Rowan's primary users are scientists and researchers in drug discovery, materials science, and education who require efficient and accurate molecular design and simulation tools. </target_audience> ```

What does Rowan do?

How much funding has Rowan raised?

Rowan has raised 2100000.

Funding

2100000

Employees

5 employees

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Rowan

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Executive Summary

rowansci.com 700+

Crunchbase

Funding

Estimated Funding

$2M+

Team (5+)

No team information available.

Company Description

Problem

Traditional molecular design and simulation methods are computationally expensive and time-consuming, hindering the rapid development of new drugs and materials. Building in-house computational infrastructure and expertise can be a significant barrier for many organizations.

Solution

Rowan provides a web-based platform that simplifies molecular design and simulation by leveraging machine-learned interatomic potentials. This allows scientists to quickly predict molecular properties and behaviors, accelerating research and development in drug discovery and materials science. The platform offers pre-built workflows and a Python API, enabling users to design, simulate, and analyze molecules and materials without needing extensive computational chemistry expertise or infrastructure. Rowan's technology delivers results in seconds, facilitating faster iteration and more informed decision-making.

Features

Web-based interface for designing, simulating, and analyzing molecules and materials

AIMNet2 neural network potential for fast and accurate computational chemistry simulations

Workflows for predicting pKa values, optimizing geometries, and searching for low-energy conformers

3D molecule editor for drawing and editing molecules in the browser

Python API for scripting custom workflows and integrating with existing tools

Visualization tools for electrostatic potential, electron density, molecular orbitals, and spin density

Secure data encryption in transit and at rest

Target Audience

Rowan's primary users are scientists and researchers in drug discovery, materials science, and education who require efficient and accurate molecular design and simulation tools.