AI-powered document processing and workflow automation for construction
Trunk Tools applies machine learning to construction's operational backbone—document processing, job-site workflows, and field operations. The stack reveals a dual focus: NLP infrastructure (spaCy, Hugging Face, Elasticsearch, RAG) for document understanding, paired with a modern web platform (React, TypeScript, Node.js) and ML ops tooling (SageMaker, Airflow, MLflow, Weights & Biases). The hiring mix skews senior engineering (16 roles) against sales (12), with only 2 roles posted in the last month—typical for a pre-scaling AI company still validating core product-market fit.
Trunk Tools automates administrative and operational workflows in construction through AI-driven document processing and job-site task management. Founded in 2021 and based in New York, the company targets mid-market construction firms and general contractors managing projects at scale. The product suite includes document Q&A capabilities, workflow orchestration (TrunkText, TrunkPerform), and third-party integrations with existing construction software. The founding team brings experience from SpaceX, Stanford, MIT, and enterprise software, and has deployed software to over 140,000 construction users.
The core stack includes spaCy and Hugging Face Transformers for NLP, Elasticsearch for search, RAG for retrieval-augmented generation, SageMaker for model training, and MLflow + Weights & Biases for ML operations and experiment tracking.
Active projects include intelligent document processing and Q&A, TrunkText feature development, job-site workflow transformation, third-party integrations, TrunkPerform product, AI agent scaling, and go-to-market strategy for autonomous agents in field operations.
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