Accurate extraction of chemical synthesis routes from scientific literature is critical to accelerating AI-native drug discovery workflows. Today, in collaboration with @nvidia , we are excited to announce state-of-the-art performance in extracting these routes using fine-tuned Nemotron 3.5 Super VL and Nemotron 3 Nano Omni. We are grateful to the team at @NVIDIAHealth for their partnership on this work and honored for our collaboration to be featured in today’s Nemotron 3.5 Super VL launch! By embedding this capability directly into our EMMI platform, which combines proprietary hardware, scale data, chemistry-first AI, and lab-in-the-loop automation, we are enabling our agents to dynamically parse and reason over chemical documents on-the-fly, and powering a continuous data flywheel that is further expanding our access to actionable chemical space and accelerating the path to novel medicines for the patients who need them. Read our blog: Enhanced Parsing of Chemical Reaction Diagrams terraytx.ai/news-and-researc… Read NVIDIA's blog: Nemotron 3.5 Super-VL Powers Specialized Agents with Multimodal Reasoning developer.nvidia.com/blog/nv…