How can AI transform laboratory operation without compromising on scientific rigour, reproducibility, or regulatory confidence? This invite-only session brings together cross-sector leaders to explore how hybrid laboratory ecosystems—where physical experimentation and digital prediction co-exist—can reshape discovery and development in complex, regulated environments.
As AI, automation, and computational modelling advance at unprecedented speed, laboratories across biotech, agri-food, materials, and health sciences are entering a new era of digitally-augmented experimentation. Increasingly, organisations seek to run fewer but more meaningful experiments—relying on in-silico predictions, digital twins, and data-driven design cycles to guide what happens at the bench.
This roundtable explores how organisations can leverage AI-native lab environments to:
• Combine physical experimentation with predictive simulation to accelerate discovery
• Reduce experimental burden while maintaining scientific quality, reproducibility, and regulatory alignment
• Build trust and drive adoption of hybrid workflows through transparent model validation, clear evidence thresholds, and intuitive integration
Drawing on perspectives from biotechnology, consumer goods, pharmaceuticals, advanced manufacturing, and agri-tech, participants will share how hybrid lab strategies can unlock new levels of efficiency and insight—while retaining trust, credibility, and compliance.