R&D teams are under growing pressure to develop new materials, improve processes, and support sustainability goals, all while navigating an ever-expanding body of scientific literature. The challenge isn't finding more information. It's knowing which information to trust and how to turn it into meaningful research decisions.

Join this webinar to see how Reaxys AI helps chemical engineering researchers explore complex chemistry questions using natural language, uncover trusted insights from curated scientific data, and support decisions across research workflows. Through practical use cases and a live demonstration, you'll see how Reaxys AI can help reduce time spent searching, uncover new possibilities, and provide greater confidence in your next steps.

Top three reasons to attend

• Discover practical ways Reaxys AI supports literature discovery, synthesis planning, materials research, and green chemistry.


• See a live demonstration of how natural language queries can uncover explainable, traceable insights from trusted chemistry data.


• Learn how researchers can make more informed decisions while reducing duplicated effort and exploring new research opportunities.