BenchSci is a leading AI-assisted platform designed to accelerate preclinical research and drug discovery by optimizing reagent selection and experimental design. It helps scientists make breakthrough discoveries by providing data-driven insights into the performance of antibodies and other reagents, significantly reducing the time and resources spent on trial-and-error experimentation. The platform leverages machine learning and artificial intelligence to ingest and interpret millions of historical experiments from open- and closed-access publications, preprints, patents, and clinical trials. It features a comprehensive biomedical experiment-focused dataset and a vast library of scientifically trusted third-party sources. BenchSci's ASCEND platform, for instance, is a GenAI R&D platform built to unravel disease biology, acting as an AI Assistant/Co-pilot for preclinical scientists. BenchSci is primarily used by pharmaceutical companies, contract research organizations (CROs), and academic research institutions to streamline the selection and validation of antibodies. It enhances the speed, accuracy, and reproducibility of preclinical research by enabling researchers to quickly identify suitable reagents, predict their performance, and avoid costly experimental failures. The platform offers specialized AI assistants with a deep understanding of pharma workflows, robust data foundations, and enterprise-ready integrations. It provides tools like Navigator for multi-target analysis and conversational AI for quick summarized answers, guiding scientists through complex research questions and optimizing experiment designs to maximize success rates.