AI-Powered Multi-Modal Discovery Engine
A Unified AI Framework for Drug Repurpsing
Our AI Platform Flow
Multi-Modal AI-Driven Repurposing
Challenges We’re Solving
Unify heterogeneous data types (proteins, genes, small molecules, literature) across multiple modalities (text, graphs, sequences, 3D structures).
Orchestrate of multiple AI models across massive datasets.
Connect dry-lab predictions with wet-lab validation to ensure translational relevance and real-world impact.
Streamline drug repurposing workflows, making therapeutic innovation faster, more affordable, and more scalable.
Core Values
AI-Powered Discovery
Leverage deep learning to uncover hidden therapeutic potentials across diverse diseases and maximize the value of existing pharmacological assets.
Efficiency & Accessibility
Deliver accelerated, cost-effective, and scalable drug repurposing workflows to expedite market expansion.
Focus on Patients
Transform existing molecules into real-world treatments that improve lives and address critical healthcare gaps.
Repurgenesis
Platform Strengths
- First AI-orchestrated platform for drug repurposing, integrating multimodal data and sources and analytical methods.
- Powered by NVIDIA BioNeMo and NVIDIA cuGraph, enabling scalable orchestration of diverse AI models.
Drug-Target Driven
From Drug → Disease through structure-based screening and AI-powered binding prediction for small molecules and proteins.
Disease-Gene Driven
From Disease → Drug via AI agents operating on knowledge graphs and retrieval-augmented generation (RAG), supported by gene expression analysis.
An Intelligent, Orchestrated Drug Discovery Platform
