
Intelligent Drug Design
A global federated AI system and computational toolbox for designing novel targeted medicines

Securely utilizing diverse, protected data to reveal insights with AI
Federated AI can obtain data-driven insights without moving or seeing the underlying data. Drug design researchers rely on sensitive intellectual property. Qubigen can securely draw key learnings from protected data to generate novel molecular structures.
Federated AI
Federated AI allows effective drug candidate insights to be drawn from our participants’ protected data, together with ADMET insights from a unique, curated, proprietary database, to synergistically design novel drug molecules.
Faster Drug Design
Building Structure Activity Relationship takes time, and can be hit-or-miss. Time and money can be wasted on investigating poor candidate molecules for a given target. Qubigen decreases the time and resources needed for developing novel medicines by designing better quality candidates, faster.
Novel Candidate Generation
Qubigen draws on its unique infrastructure and computational tools to generate high quality drug candidates for specific protein targets.
Safe and Secure
No data are viewed, shared, or moved. The AI processes, curation, and analysis are carried out at-arms-length using a secure CLI.

Unleashing Technological Excellence
10+
AI Drug Discovery Projects
50K+
Virtual Screening Simulations
100M+
Quantum Chemistry Computations
22
50+
5
Innovative Solutions