Augmented Target Triage: Scaling Safety Insights from Evidence to Action

We break down how Sable combines curated safety data, specialised AI agents, and Model Context Protocol (MCP) to help computational toxicologists and safety teams scale their work without sacrificing rigor. What we cover: Traceable AI: How Sable turns complex evidence into grounded, audit-ready safety insights. Data Accessibility: Utilising AI agents and MCP to make safety data immediately useful across your team. Consistent Scale: How Sable Target Triage enables fast, standardised assessment across multi-target pipelines.