Frontier AI Infrastructure

Qubigen combines generative AI models with first-principles quantum chemistry, delivered in isolated, air-gapped runtimes. Partners can use this either as a fully managed service or as an edge platform they control. In both cases the goal is the same: generate and prioritize molecules using their own project data while keeping raw data and models inside their environment.

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Core Differentiators​

 

Data never leaves

Models learn from internal project data without centralizing raw structures or assay results. Deployments run in isolated, air-gapped environments so sensitive data stays inside the partner’s control.

 

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Physics-backed molecule design

Generative models for structure and SAR are paired with quantum chemistry calculations that evaluate binding and electronic properties. This supports candidate generation, ADMET-aware prioritization, and synthetic feasibility in one workflow.

 

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End-to-end drug design

The platform is built and operated by Qubigen rather than assembled from third-party tools. This gives consistent control over both the generative models and the physics runtimes.

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Validated in active programs

The approach has been used in biopharma partnerships and integrated with medicinal chemistry workflows, with results benchmarked against conventional methods.