SCIENTIFIC UPDATE WEBINAR

Design Better Routes, Connect Smarter Workflows: 
Introducing SYNTHIA® for Process Chemistry 

29 October 2026

Discover how to broaden early route scouting and connect SYNTHIA® chemistry intelligence with compatible AI workflows.

Process chemists often need to make route decisions before every experimental answer is available. A pathway that looks efficient on paper may later present challenges with sourcing, scale-up cost, operational complexity, safety, or sustainability. Comparing alternative disconnection strategies manually can require extensive literature searching, supplier checks, and time-consuming route assessment.

In this webinar, discover how SYNTHIA® Retrosynthesis Software can help process chemists generate alternative pathways, guide searches toward preferred chemistry, and exclude unwanted reagents, reaction classes, or structural features. Learn how to assess route options using practical information including step count, starting-material availability and price, hazard information, and literature context.

The session will also introduce SYNTHIA® Agentic AI. Explore how curated SYNTHIA chemistry capabilities can be accessed through compatible AI and LLM environments, helping to reduce friction between route planning and the tools teams use to investigate, evaluate, and communicate decisions.


By the end of this webinar, you will be able to:

  1. Describe how SYNTHIA® Retrosynthesis Software supports early route scouting by generating and comparing multiple synthetic pathways from commercially available building blocks.
  2. Apply process-relevant search criteria to promote preferred chemistry and exclude unwanted reagents, reaction classes, or structural features.
  3. Evaluate pathway options more systematically using practical considerations such as step count, starting-material availability and price, hazard information, and literature context.
  4. Explain the role of SYNTHIA® Agentic AI in connecting SYNTHIA chemistry intelligence with compatible AI and LLM workflows through natural-language access and secure integrations.

 

Speaker

Angelo Lanzilotto, Ph. D.
Specialist for Digital Chemistry

Angelo received a PhD in chemistry from the University in Basel, Switzerland. Moved to Amgen in Canada to work on antibody discovery and later to Selvita working on lead optimisation of small molecule drugs. In 2021, joined Merck KGaA and is now in the Digital Chemistry division, where we develop and commercialise drug discovery software and automation.