This blog explores how Docking Reports are generated during in silico compound screening—who uses them, when they’re needed, and why they’re critical. It covers the shift from manual workflows to Gen AI-powered automation, detailing how Agentic AI handles parsing, summarizing, and visualizing results. By integrating with tools like AutoDock and Glide, it ensures fast, compliant, and explainable report generation.

The Molecular Design Canvas is an AI-first interface that helps scientists design new drug molecules faster. It combines 3D visualization, property prediction, and agentic AI suggestions to optimize molecules for safety, efficacy, and synthesizability. With real-time feedback and generative tools, it transforms drug discovery into an intuitive, collaborative, and data-driven experience.

Pitchworks BioResearch is a GenAI-powered micro app that streamlines the biomedical research process. It enables natural language literature search, intelligent document analysis, hypothesis generation, and interactive knowledge graph exploration. By automating time-consuming tasks, it boosts researcher productivity by over 30%, making discovery faster, smarter, and more efficient across the life sciences workflow.

Many enterprises struggle with GenAI adoption due to vague use cases, weak leadership support, and poor change management. Pitchworks VC Studio offers a 9-stage GenAI Strategy Roadmap designed to solve this—starting from leadership alignment and AI training to use case mapping, implementation, and continuous upskilling. This framework ensures enterprises unlock ROI-driven, scalable, and sustainable AI impact across functions.