AI DOCUMENT INTELLIGENCE FOR CONSTRUCTION
Plans, specifications and contracts are where construction data hides. Our document intelligence layer parses them into structured data: the shared foundation under quoting, compliance and scheduling.
High confidence flows straight to systems. Medium routes to review. Low escalates to a person. Nothing is silently guessed.
Construction documents are often ambiguous or incomplete. The layer is honest about it: every extracted field carries a confidence level, and the confidence decides where it goes.
Nothing is silently guessed. Corrections feed back and improve the parsing over time.
Document extraction flow: fields on a drawing set are read by the document intelligence layer and become structured records. A cleanly read dimension carries high confidence and flows to the system; an ambiguous specification clause carries medium confidence and queues for human review; an unclear hand amendment carries low confidence and is escalated to a person.
| Confidence | Route | Example |
|---|---|---|
| High | Flows straight into the connected system | A dimension read cleanly from a drawing schedule |
| Medium | Queued for human review before use | A clause that could map to two requirements |
| Low | Escalated to a person, with the source shown | A scanned amendment or a conflicting revision |
Cyberate's document intelligence layer reads construction drawings, specifications, contracts and approval conditions, converting unstructured project documents into reviewable structured data. It feeds the quoting engine's drawing-schedule input, the compliance system's condition capture, and the agents built on top of them, with your documents staying inside your data boundary.
Our approach to reading drawings with large language models and computer vision was presented at WSBE26, the World Sustainable Built Environment Conference 2026 in Melbourne.
AI-Assisted Decision Support for Drawing-Based Residential Compliance Review: Integrating Large Language Models and Computer Vision
Yes. Drawings and drawing schedules are the core input: items, dimensions and revisions are extracted into structured records with confidence flags.
Yes, from drawings and schedules. Each value carries a confidence flag, and anything unclear is routed to a person rather than guessed.
The ambiguous field is marked medium or low confidence, shown with its source, and queued for human review. Ambiguity is surfaced, never hidden.
Yes. Material requirements, standards references, obligations, key dates and approval conditions are all extractable targets.
Yes, that is the point: one parse serves quoting, compliance, scheduling, reporting and the AI agent suite, so a document is interpreted once and used everywhere.
Talk to us · How we deploy AI · Construction document intelligence