The Last Mile, Solved Where It Matters: Domain-Native Agentic AI by Praveen Satyanarayana

This story was originally published on HackerNoon at: https://hackernoon.com/the-last-mile-solved-where-it-matters-domain-native-agentic-ai-by-praveen-satyanarayana . Praveen Satyanarayana’s Milky Way agentic AI tackles last-mile analytics with domain-native ontologies, verification scaffolds, and audit-ready insights. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #praveen-satyanarayana-tredence , #milky-way-agentic-ai , #domain-native-ai-systems , #last-mile-analytics , #enterprise-knowledge-graphs , #ontology-driven-ai , #ai-verification-scaffolds , #good-company , and more. This story was written by: @kashvipandey . Learn more about this writer by checking @kashvipandey's about page, and for more stories, please visit hackernoon.com . Praveen Satyanarayana, Head of Engineering at Tredence, built Milky Way, a domain-native agentic AI system for last-mile analytics. By grounding business terms in ontologies, enforcing dual-judge verification, and providing auditable decision narratives, Milky Way delivers reliable, scalable insights across retail, BFSI, supply chain, telecom, and healthcare domains.