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Rowan

Rowan provides a computational platform offering molecular design and simulation tools for chemical R&D. The platform integrates machine learning potentials and traditional quantum mechanics methods to accelerate discovery in drug design and materials science. Scientists utilize Rowan for property prediction, structure-based design, and high-throughput computational workflows.

Updated 2 months ago

Funding

$2.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

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.

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.

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
This profile is AI-generated and may contain inaccuracies.