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Engineering-Grade Vertical AI

Industrial Knowledge
to Actionable AI.

Machines read drawings, borehole reports, and calculations, and turn them into judgments with the evidence linked and the standard verified.

Verdict5 mismatches

Floor-plan window marks ↔ window schedule, fully cross-checked

Detected on plans
118
Absent from schedule
3
Missing from plans
2

Evidence original plan coordinates · per-mark crop attached

Rule window-schedule matching rule · version-pinned

Approval pending reviewer — the AI does not approve

This mirrors an actual verdict screen. How sampling became full coverage — see the case study

Zero Silent Error— never be wrong quietly
✓ Source tracedevery result carries its origin
✓ Rule verifiedlinked to standard & clause
✓ Human approvedreviewed and signed off
Adopted byPOSCO E&CDoosan EnerbilityDaewoo E&CLotte E&CDL ConstructionHoban ConstructionCoway EntechKT EstateLHSeoul Fire Dept.Atrium Consultant
doAZ founder Youngtae KimBuilt by a U.S.-licensed Professional Engineer with 16 years running EPC sites across 19 countries.Youngtae Kim · Founder & CEO →
(1) The thesis

The bottleneck in engineering is review.
doAZ produces not a plausible answer, but a result linked to its evidence.

/01

Machines read drawings and documents, and cross-check consistency across them.

/02

Every judgment carries its source coordinate, clause, and confidence.

/03

Official calculation runs on a version-pinned deterministic engine — the LLM never does the math.

/04

When evidence is weak, the AI abstains first and hands off to a person.

/05

Designed for on-premise and air-gapped deployment.

Industrial Knowledge to Actionable AI. Understand. Compile. Verify. Operate.

“Can’t you just use general-purpose AI for that?”

It’s the question we hear the most. General-purpose AI produces plausible answers. In engineering review, plausible is not the same as correct — and a wrong basis only surfaces after the audit or the incident.

When general-purpose AI reads a drawing
  • ✕Callout tracing — cannot follow detail references from one drawing to another
  • ✕Cross-reference resolution — relationships that span multiple sheets
  • ✕Symbol variants — notation conventions that differ from office to office
  • ✕Leader-to-object binding — identifying exactly what a leader line points at
  • ✕Revision comparison — tracing how an R2→R3 change ripples through the set

Above all — it doesn’t say so, even when it’s wrong.

How doAZ does it
  • ✓Every verdict carries its original drawing coordinates — click it and jump straight to that location
  • ✓States the governing standard and clause, showing the applied value next to the standard value
  • ✓Official calculation runs on a version-pinned deterministic engine — the LLM never does the math
  • ✓Learns office-specific notation conventions to absorb symbol variants
  • ✓Tracks changes across revisions and shows their ripple range

And — when evidence is weak, it abstains first and hands the item to a person.

An AI-native engineering verification stack.

The doAZ Engine unifies an AI reasoning layer and an engineering precision layer into one structure — not AI bolted onto existing tools, but a platform designed around verification from the ground up.

AI Intelligence Layer

Understands the industrial meaning of documents, drawings, tables, and calculations. It extracts, proposes mappings, and retrieves evidence to explain its reasoning — a domain-adaptive structure that even learns office-specific notation conventions.

Engineering Precision Layer

Official calculations run on a version-pinned deterministic engine. Units, standards, tolerances, tests, and approval history are managed as a single executable unit.

Result↳Source artifact↳Extracted evidence↳Applied rule↳Version↳Validation↳Human reviewer
Explore the Platform →
Deployment & data boundary— each item shows its honest current state
✓On-premise · air-gapped deployment

Within contract scope

✓No cross-customer learning

Product principle · stated in contract

✓Version-pinned deterministic kernel

In production

✓AI holds no approval authority

Product boundary

See every item & status →
(4) Proof
POSCO E&CDoosan EnerbilityDaewoo E&CLotte E&CDL ConstructionHoban ConstructionCoway EntechKT EstateLHSeoul Fire Dept.Atrium Consultant

Not claims — verifiable numbers.

11 repeat & expansion orders · zero outbound sales — grown entirely through inbound and re-orders across 16 enterprise customers.

(5) Engagements

Newly started work — contracts and PoCs.

Client names and scopes are published after client confirmation. Numbers go to Proof once measured.

Bridge drawing analysis consolePRODUCT SCREEN
Lotte E&C bridge drawing analysis console — design-condition table extracted from a PSC girder general drawing, with evidence locations marked
Lotte E&CConstruction · CivilPoC
Bridge & tunnel process AI analysis

Reads bridge and tunnel drawing sets sheet by sheet, structures design conditions, members and quantities, and links schedule analysis to evidence coordinates on the drawing.

Coastal water-treatment plant
A coastal water-treatment plant with circular clarifiers, pressure vessels and piping
Coway EntechPlant · Water treatmentCustomer
Engineering AX

An engineering AX strategy for water-treatment and desalination plants, built together — turning the knowledge held in standards and drawings into verifiable action, from planning to phased execution.

S-Oil SPM project
Single point mooring buoy, tanker and subsea pipeline
S-OilPlant · OffshoreContract
Engineering calculation AX

Engineering calculations for the SPM project.

Engineers reviewing drawings above an apartment complex
LHPoC
Design verification AI platform

Cross-checks apartment design documents — drawings, schedules and standards — end to end, and hands nonconformity candidates to reviewers with evidence.

Construction · Architecture
A coastal nuclear power plant with containment buildings
Doosan EnerbilityContract
Nuclear drawing AI analysis

Extracts objects and connectivity from P&IDs and control logic diagrams (CLD) with a deterministic engine — air-gapped deployment, licensing-grade traceability.

Nuclear · Plant
An offshore wind monopile and installation vessel at a high-risk marine worksite
Doosan EnerbilityContract
EHS AI

AI review of pre-work safety assessments for high-risk work — advisory-only, so approvals are supported, never blocked.

Safety · EHS
Illustration of reference lines linking four documents, with a conflict point highlighted
Doosan EnerbilityContract
Subcontracting Act compliance AI

Finds hidden Subcontracting Act risks in contracts and written requests, with statute and precedent evidence.

Contracts · Compliance

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.

Not ready to talk yet — 2-minute Readiness Self-check →