Muro AI builds AI agents that automate preconstruction activities—bid analysis, document review, scope identification—for general contractors. The stack is heavily weighted toward document intelligence (RAG, OCR, image segmentation, layout analysis, entity resolution) and integration (Procore, SharePoint, Excel), suggesting the core value lies in extracting and structuring data from messy construction documents. Leadership-heavy hiring (7 of 9 roles are senior) plus a chief of staff signals early-stage ambition to scale a complex vertical SaaS motion.
Notable leadership hires: Chief of Staff
Muro AI is a 2–10 person startup in San Francisco building AI agents for general contractors to automate preconstruction activities. The product targets the bid and scope-closure phase—helping contractors accelerate document review, eliminate scope gaps, and reduce manual hours on multimillion-dollar bids. The technical foundation is a Node.js/TypeScript backend (PostgreSQL, GCP Cloud Run), a React/Electron desktop application, and a document understanding layer built on RAG and computer vision (OCR, image segmentation). Integration with Procore, SharePoint, and Excel reflects the fragmented tool landscape contractors work within.
Node.js, TypeScript, Express, PostgreSQL, React, Electron, GCP Cloud Run/Cloud SQL, Docker, Supabase, plus Python/FastAPI for the document understanding layer. Integrations span Procore, SharePoint, and Excel.
Core systems include a Node.js backend, Electron desktop app, and a document understanding layer for OCR, image segmentation, and layout analysis. Current focus areas are RAG systems, agentic workflows for construction tasks, Procore/SharePoint/Excel integration, and construction spec pipelines.
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