Trunk Tools' stack cut document review from 60 days to 10 by ditching general-purpose models

Trunk Tools built a three-layer AI architecture spanning perception, semantics, and agents to handle messy construction documents, proprietary schemas, and implicit workflows. The company says its purpose-built system cut review cycles from 60 days to 10 while helping prevent costly field errors and enabling agents to reason across millions of pages.

The story highlights a broader shift from general-purpose LLMs toward domain-specific AI built on curated data, ontologies, and knowledge graphs. For industries with jargon-heavy, proprietary information, competitive advantage may come less from model size and more from structuring data into agent-ready workflows.