AI DOCUMENT INTELLIGENCE FOR CONSTRUCTION

Drawings in.
Structured data out.

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.

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The industry's data is trapped in documents.

  • Drawings hold the truth: Quantities, dimensions and specifications exist, but only as lines on a page.
  • Humans as parsers: Skilled people spend their days transcribing documents into systems.
  • Every re-entry, an error chance: The same information is typed into quoting, scheduling and compliance tools separately.

Parse once. Use everywhere.

  1. Ingest: Drawings, specification books and contracts enter the pipeline in the formats you already have.
  2. Parse & structure: Items, dimensions, clauses and schedules are extracted into a consistent data model.
  3. Serve the systems: Quoting, compliance and scheduling read from the same structured source: one interpretation, everywhere.

What comes out of each document.

High confidence flows straight to systems. Medium routes to review. Low escalates to a person. Nothing is silently guessed.

  • From lines to line items: The geometry and schedules a quote or programme starts from. (Dimensions and quantities; Openings and itemised elements; Room and level context; Revision differences)
  • From prose to requirements: What must be used, met and complied with, as data. (Material requirements; Standards references; Product constraints; Ambiguities, flagged)
  • From clauses to obligations: The commitments hiding in legal and planning documents. (Obligations and clauses; Approval conditions; Key dates and notice periods; Inclusions and exclusions)

Confidence decides the route.

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.

ConfidenceRouteExample
HighFlows straight into the connected systemA dimension read cleanly from a drawing schedule
MediumQueued for human review before useA clause that could map to two requirements
LowEscalated to a person, with the source shownA scanned amendment or a conflicting revision

The shared layer under every agent.

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.

Automated quoting · Compliance & approvals

Presented to the field,
not just to customers.

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

Publications & awards

Common questions.

Can it read construction drawings?

Yes. Drawings and drawing schedules are the core input: items, dimensions and revisions are extracted into structured records with confidence flags.

Can it extract dimensions and quantities?

Yes, from drawings and schedules. Each value carries a confidence flag, and anything unclear is routed to a person rather than guessed.

What happens if the document is ambiguous?

The ambiguous field is marked medium or low confidence, shown with its source, and queued for human review. Ambiguity is surfaced, never hidden.

Does it support specifications and contracts?

Yes. Material requirements, standards references, obligations, key dates and approval conditions are all extractable targets.

Can extracted data feed quoting, compliance and scheduling?

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.

Stop paying skilled people to re-type documents.

Talk to us · How we deploy AI · Construction document intelligence