Anna Codina

The pharmaceutical industry is accelerating toward an era of AI-augmented and self-driving laboratories, where human expertise is amplified by intelligent automation and data-driven orchestration. Yet the success of this transformation depends on a critical foundation: AI-ready, interoperable data.

In this joint presentation, SciY and NovAliX share how digitalization platforms, automation, and applied AI are converging to reshape experimental design, process optimization, and manufacturing. Real-world examples, from reaction screening and structure verification to AI-piloted continuous manufacturing (PIPAc), will illustrate how FAIR data principles, semantic standardization, and orchestration across instruments, robotics, and enterprise systems unlock new levels of scientific efficiency and agility.

Key discussion points include:

• Designing a robust data strategy that bridges discovery, development, and manufacturing.

• Implementing closed-loop experimentation and real-time process optimization through intelligent orchestration layers.

• Demonstrating AI agents trained in digital twins to autonomously adjust reaction conditions for yield and safety.

• Empowering scientists as AI-augmented decision-makers in a connected ecosystem spanning CROs, CDMOs, and internal labs.

Together, SciY and NovAliX will showcase how collaborative innovation and vendor-agnostic digital infrastructure are making the vision of truly smart, data-driven laboratories a practical reality today.