Intelligent Drug Design
Decentralized AI Infrastructure & Quantum Chemistry for Autonomous Drug Discovery
Qubigen deploys tailorable generative tensor models + first-principles physics-based engines in isolated air-gapped runtimes.
Your data. Your AI. Your moat.
Tailored novel or optimized molecules from protected project data
Generative models and quantum chemistry runtimes learn from internal project data in a secure edge environment deployed for you.
The Qubigen Platform automatically tailors these AI models for your exclusive use for generating and prioritizing molecular structures based on your needs and objectives.
Decentralized Edge-based Learning
Qubigen’s decentralized edge architecture allows high-performing tensor models to learn directly from distributed and unoptimized internal project data, without centralizing raw IP or exposing sensitive results.
Autonomous Generative Execution
Driven by powerful foundational tensor architectures and automated computational workflows, each Qubigen deployment can generate high-potency, synthetically feasible drug candidates tailored to your target protein structures and ADMET profiles.
Precision SAR & Candidate Optimization
Qubigen accelerates candidate prioritization and minimizes wasted synthesis cycles by combining generative tensor models with parallelized, first-principles quantum chemistry (QM) runtimes.
Air-Gapped Security
Sensitive project data never leaves the secure environment of your deployment. Federated learning, quantum mechanics calculations and execution agents operate within isolated, air-gapped runtimes, ensuring client-side data isolation.
Collaborations & Partnerships
Partner Locations
Partner Institutes
Unleashing Technological Excellence
10+
AI Drug Discovery Projects
50K+
Virtual Screening Simulations
100M+
Quantum Chemistry Computations
22
50+
5
Innovative Solutions