Lovelace Cuts AI Costs With Context Engines

Mike Vizard talks with Andrew Moore, Founder and CEO of Lovelace, about why knowledge graphs and context engines are becoming critical to reliable enterprise AI. Moore explains how Lovelace’s YottaGraph and Elemental platform help AI agents reason across massive data sets without stuffing prompts full of costly, error-prone context. The conversation also covers RAG limitations, token economics, model independence, safety-critical AI, probabilistic reasoning, entity resolution and why structured context can make agentic workflows more accurate, auditable and affordable.