Deploying Self-Driving Labs: How Atinary and Agilent Are Accelerating R&D at the Speed of AI

R&D teams recognize the promise of AI-driven experimentation but struggle to understand how a Self-Driving Lab actually looks like in practice and what it takes to build one. Moving from disconnected workflows to an automated, data-driven research environment requires more than automation alone. It requires reliable instrumentation, seamless integration, and intelligent decision-making.

What You'll Learn

Join experts from Agilent and Atinary Technologies as they reveal how the first fully integrated Self-Driving Lab for small molecule organic synthesis was designed and deployed. Through real-world examples and a live demonstration, you will see how AI, robotics, and analytical instrumentation work together to create a closed-loop Design-Make-Test-Analyze + Learn (DMTA+L) workflow that accelerates method development and QC/QA.

Key Takeaways

• Understand the architecture of a practical Self-Driving Lab
• Explore end-to-end automated workflows, from sample preparation to HPLC analysis
• See how Atinary's AI agentic platform and Self-Driving Labs® design, execute, and optimize experiments
• Learn why robust, automation-ready analytical instruments are critical for reliable AI-driven decisions

Who Should Attend

Anyone interested in accelerating R&D and scientific discovery with AI-driven experimentation, robotics, and laboratory digitalization, from scientists, laboratory managers, automation specialists, analytical chemists, and R&D professionals to executives and decision makers in industry.

Save Your Spot

Discover how leading innovators are transforming scientific workflows with AI, robotics, and advanced analytics. Register today to gain practical insights for designing, scaling, and deploying Self-Driving Labs in your organization.

About Atinary Technologies

Atinary Technologies is the pioneer of Self-Driving Labs® and a World Economic Forum 2026 Technology Pioneer. Atinary's mission is to augment humans with AI and robotics to drive a Moore's Law of Discovery, exponentially accelerating the discovery of breakthrough molecules and materials to tackle planetary challenges in health, energy, food, and sustainability. Atinary owns a vertically integrated technology stack and offers its agentic AI platform SDLabs® and lab-validated datasets. SDLabs users can explore vastly larger chemical spaces and run complex experiments faster than ever, unlocking results that are out of reach using traditional R&D methods, as demonstrated in published work with world-renowned companies and universities. Atinary's ecosystem partners include ABB Robotics, Agilent, AWS, Bruker, Chemspeed, and Mettler-Toledo. Headquartered in Menlo Park, California, with operations in Boston and Lausanne. Learn more at www.atinary.com and contact us at [email protected]

Presenter: Dr. Hermann Tribukait (CEO & Co-Founder, Atinary)

Dr. Hermann Tribukait is Co-Founder and CEO of Atinary, a World Economic Forum 2026 Technology Pioneer and the pioneers of Self-Driving Labs®. Hermann co-authored the seminal Materials Acceleration Platform Report (January 2018) and was the Founding Lead of the Materials Discovery Innovation Challenge of the global initiative Mission Innovation from 2016 to 2019. He holds a PhD in Economics from Harvard University.

Presenter: Dr. Loic Roch (CTO & Co-Founder, Atinary)

Dr. Loïc Roch is Co-Founder and CTO of Atinary, where he leads a multidisciplinary team at the frontier of AI and machine learning for accelerated scientific discovery. He holds a PhD in quantum chemistry from the University of Zurich and conducted postdoctoral research in AI for chemistry at Harvard University and the Vector Institute for Artificial Intelligence. Dr. Roch has published more than 50 papers in scientific journals.

Presenter: Dr. Mohammad Azzouzi (Applications Engineer / Customer Success Manager, Atinary)

Dr. Mohammed Azzouzi is an Applications Engineer and Customer Success Manager at Atinary. He works closely with clients and R&D teams to deploy Atinary’s technology and serves as the bridge between scientists, engineers and end users. He holds a PhD in Physics from Imperial College London with expertise spanning materials science, chemistry, and applying machine learning to complex scientific challenges.

Presenter: Juan Liang-Schenkelberg (Product Manager, Agilent)

Juan Liang-Schenkelberg is a global product manager in the Liquid Phase Division. She holds a PhD in Biochemical Engineering from Hamburg University of Technology, where she also completed her postdoctoral fellowship. Joining Agilent in 2016, she’s become an expert in developing solutions that support complex workflows across different sectors.