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

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.


Published on 1 month ago






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