Industrial Knowledge
to Actionable AI.
One wrong review cascades into rework, delay, and dispute. doAZ understands the documents, drawings, calculations, and standards of construction, geotechnical, plant, and marine work — and connects AI reasoning with engineering verification into results your team can actually use.
The bottleneck in engineering is review.
doAZ produces not a plausible answer, but a result linked to its evidence.
Machines read drawings and documents, and cross-check consistency across them.
Every judgment carries its source coordinate, clause, and confidence.
Official calculation runs on a version-pinned deterministic engine — the LLM never does the math.
When evidence is weak, the AI abstains first and hands off to a person.
Designed for on-premise and air-gapped deployment.
Industrial Knowledge to Actionable AI. Understand. Compile. Verify. Operate.
Deployed where complexity is highest and the cost of a missed review is greatest.
Boreholes → 3D strata · design-ready judgment
Drawing ↔ schedule ↔ review comments, cross-checked
P&ID · specs · standards, reconciled
Standards · calculations, structured
Real product screens and synthetic concept art — not customer-identifying data.
Not claims — verifiable numbers.
Geotechnical review — where drawings meet reality
POSCO E&C · joint commercialization
basis: POSCO E&C frozen gold set
case detail →Every review comment linked to its drawing
Daewoo E&C
basis: 13/13 items on a live project
case detail →Every answer carries document, page, and quote
Lotte E&C · KT Estate · Seoul Fire Dept.
basis: measured per each customer environment
case detail →11 repeat & expansion orders · zero outbound sales — grown entirely through inbound and re-orders across 16 enterprise customers.
Start with your own engineering documents.
One set of real drawings or calculations is enough. See evidence attach to every judgment — on-premise or air-gapped if you need it.