Beyond RAG: How Articul8’s supply chain models achieve 92% accuracy where general AI fails

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In the race to implement AI across business operations, many enterprises are discovering that general-purpose models often struggle with specialized industrial tasks that require deep domain knowledge and sequential reasoning. While fine-tuning and Retrieval Augmented Generation (RAG) can help, that’s often not enough for complex use cases like supply chain. It’s a challenge that startup Articul8 is looking to solve. Today, the company debuted a series of domain-specific AI models for manufacturing supply chains called A8-SupplyChain. The new models are accompanied by Articul8’s ModelMesh, which is an agentic AI powered dynamic orchestration layer that makes real-time decisions about which AI models to use for specific tasks. Articul8 claims that its models achieve 92% accuracy on industrial workflows, outperforming general-purpose AI models on complex seque ... Read full article.