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Deep Origin

This company accelerates small molecule drug discovery by integrating molecular physics simulations with AI-driven computational methods. They offer an intuitive, no-code AI assistant, Balto, for accessible drug discovery workflows including data retrieval, molecular profiling, and ligand docking. Additionally, they provide code-based API access for advanced users needing large-scale docking, free energy calculations, and molecular analysis.

South San Francisco, United StatesFounded 2021547K+ followers
Updated 4 months ago

Funding

$25.5M 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

Life science research and development face challenges in managing complex data, performing in-depth analyses, and efficiently discovering lead compounds, which slows down the overall drug discovery process. Scientists need better tools to handle the increasing volume and variety of biological data and streamline computational analysis.

Solution

Deep Origin provides a biotechnology platform that integrates data management, AI-driven analysis, and molecular simulation tools to accelerate research and development in the life sciences. The platform centralizes and standardizes data, from raw files to metadata, preparing it for AI-driven insights. It offers an integrated experimental notebook for capturing notes, files, code, and plots, alongside an AI analysis assistant for performing analyses and creating publication-ready figures. Additionally, Deep Origin provides a molecular simulation toolkit, powered by BiosimAI, that enables screening of billions of compounds, predicting protein motions, and assessing ADMET properties to accelerate lead compound discovery.

Target Audience

The primary users are scientists and researchers in the life sciences, including those in bioinformatics, cancer biology, drug discovery, and metagenomics, who require advanced tools for data management, analysis, and molecular simulation.

Features

  • Centralized data hub for standardizing and managing diverse research data
  • Integrated digital notebook for capturing experimental details, code, and visualizations
  • AI analysis assistant for rapid data analysis and figure generation
  • High-performance workstations for computationally intensive tasks
  • Molecular simulation toolkit for virtual screening, protein motion prediction, and ADMET property assessment
  • Cloud platform access for quick deployment and scalability
  • Support for collaborative research through organization features
This profile is AI-generated and may contain inaccuracies.