Clay is an AI‑driven assistant for construction and engineering teams that ingests project files—such as PDFs, CAD drawings, and specifications—and indexes their content for natural‑language querying. Users can ask questions and receive concise answers with clickable citations, or generate trade‑specific scopes and reports that are automatically referenced to the source documents, streamlining information retrieval and reducing errors.
Funding
Funding not disclosed
Founders
Product
Problem
Construction and engineering teams often need to extract specific information from large sets of technical documents, such as plans, specifications, and trade manuals. Manually searching these files is time‑consuming and prone to errors, leading to guesswork and costly rework.
Solution
Clay offers an AI‑driven assistant that ingests uploaded project files, scans and indexes their content, and enables users to ask natural‑language questions about the documents. The system generates immediate answers that include clickable citations to the original source, eliminating the need for manual fact‑checking. Users can also prompt the assistant to produce trade‑specific scopes or comprehensive reports, each item automatically referenced to the underlying documentation. By delivering verified information on demand, Clay reduces the time spent searching, improves accuracy, and helps teams stay aligned with project requirements.
Target Audience
Primary users are contractors, subcontractors, engineers, and project managers who need quick, reliable access to information within large technical document sets.
Features
- Automatic ingestion, OCR, and indexing of diverse technical file formats (PDFs, CAD, specs, etc.)
- Conversational query interface that returns concise answers with inline source citations
- Scope generation tool that creates trade‑specific or multi‑trade item lists, each linked to its source document
- Export options for generated scopes and reports in common formats (e.g., PDF, Word)
- Continuous learning pipeline that updates the knowledge base as new project documents are added