Issues of Traditional Early-stage Drug Discovery

One-Step-Denovo™ Drug Discovery (OS3D™)

Diagram illustrating drug discovery process with a focus on reverse approach using generative AI, featuring molecular structures, properties, and AI-driven molecule generation.
Flowchart titled 'Traditional Drug Discovery' showing two main processes: 'Hit Identification' and 'Lead Optimization'. Hit Identification includes steps like Target Identification, Assay Development, High-Throughput Screening, Hit Confirmation, Hit Evaluation, and Hit Prioritization. Lead Optimization includes steps like Lead Selection, Chemistry Optimization, ADMET Testing, Selectivity Profiling, In Vivo Studies, and Preclinical Candidate Selection. An arrow labeled 'Hit to Lead' connects Hit Prioritization to Lead Selection.

OS3D™ — Revolutionary GenAI Engine for Drug Discovery

  • Direct Property-to-Molecule Generation – Solves the properties → molecule problem in a single forward step — no iterative back-and-forth optimization.

  • Lightning-Fast Discovery – Generates hundreds of viable candidate molecules within minutes.

  • Beyond Known Chemistry – No starting molecule required; explores vast, uncharted chemical space.

  • Comprehensive & Flexible – Supports 45+ ADMET and physicochemical properties, plus unlimited target bioactivity specifications.

  • Continuously Evolving – Re-tunable with new data for rapid adaptation and improved performance — never constrained by static datasets.

OS3D Workflow

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