NYB.AI launches Vecura 2.0, an agentic AI platform that automates scientific workflows for molecular discovery by coordinating models, data, and tools without manual intervention.

NYB.AI, a Singapore-based AI startup, released Vecura 2.0, which extends its original Vecura 1.0 platform with an agentic AI layer (self-directing AI that makes decisions autonomously) designed to reason across discovery workflows, retrieve scientific context, select models, coordinate execution, and generate structured recommendations.

Vecura 2.0 connects AI models, biological data, molecular analysis tools, and GPU-accelerated computing into unified workflows that help research teams move across compound analysis, target exploration, formulation research, toxicity assessment, and translational R&D without relying on separate systems.

The platform is designed to reduce manual infrastructure management and democratize molecular discovery by making advanced AI models and GPU-intensive workflows more accessible to teams beyond large pharmaceutical organizations and specialized computational labs.