Beyond inspection,
into judgment and operations.

DEEP-AI turns invisible defect data into trustworthy judgment,
and builds technology that connects that judgment to operational decisions.

Inspection contractorsInspection Contractor

Evaluation and call variance that rely on expert experience and “feel”
Uncallable zones and missed defects from noise or missing segments
Per-person throughput limits and handwritten reports that deepen inspector dependence
Workforce shortage as experts age and fewer new inspectors enter the field

Plant operatorsPlant Operator

Hard to objectively verify expert evaluations
Individual defect findings that do not roll up into asset integrity decisions
Fragmented data that limits history management and degradation tracking
Operational losses from delays between inspection and reporting

DEEP-AI’s core goes beyond AI models—
an Inspection Intelligence system that unifies the full NDT lifecycle.

We standardize ECT/IRIS and other NDT data, learn how field experts structure judgment, and connect defect detection through quality control, life prediction, and decision-making.

NDT Model Operations Layer

Manage AI model deploy, operate, and performance tracking to sustain field quality.

NDT Inspection Prediction Engine Layer

Reduce operating risk by predicting defect change and asset remaining life.

NDT Inspection Quality Control Layer

Manage inspection quality and reading reliability, and classify exceptions.

NDT Inspection Reasoning Engine Layer

Analyze signals, images, metadata, and history together to judge defects.

NDT Inspection Knowledge Layer

Accumulate defect rationale, inspection history, and expert knowledge as structured knowledge.

NDT Data Standardization Layer

Transform equipment- and method-specific raw data into standard judgment data AI can read.

AI auto-reading

Automatically detect and read NDT data to cut repetitive inspector work.
AI triages anomaly signals and reduces skill variance and human error.

ECT auto-readingDetect and classify heat-exchanger tube defectsIRIS signal auto-analysisAnalyze tube thickness and defect locationReader assistRecommend anomaly signals and suspect zones

Inspection Intelligence OS

Connect the full inspection lifecycle inside one operating system.
Manage raw data, prior history, AI judgment, and expert review as one flow.

Asset diagnosis · life assessment

Diagnose current asset condition from inspection data
and provide a foundation to predict how defects may grow.

Stage · Now

DEEP-AI 1.0|AI auto-evaluation

ECT / IRIS defect detection & classification
Wall-loss calculation & auto reports
Project management automation
Reduced inspection time and headcount

Stage · Next

DEEP-AI 2.0|Inspection reliability management

OOD detection
Auto confirm / review / re-inspect / uninspectable branching
AI–expert disagreement analysis
Code-compliance checks
Inspection quality KPIs

AI piping corrosion platform

Diagnose corrosion on oil & chemical plant piping and predict remaining useful life (RUL). PINN-based models forecast corrosion rate and replacement timing even where data is sparse.

Piping corrosionPINNRUL prediction

Extreme-environment synthetic data

A synthetic-data engine combining physics models with generative AI.

Rare-defect data generationShape restoration learningGrowth prediction learningStandard dataset build

SMR next-gen nuclear inspection

AI NDT technology for small modular reactors (SMR)

Next-gen nuclear inspectionGlobal inspection collaborationExpanded joint R&D

20M+Real field data

Oil & chemical 15MThermal power 3MNuclear 2M

Includes ECT, IRIS, and PAUT data,
including extreme-environment real data formally contributed by KHNP.

Global & national certifications

World’s first & only U.S. EPRI AI certificationKHNP heat-exchanger NDT qualificationRegistered as KHNP qualified inspection vendorNational New Excellent Technology (NET)National Innovative Product (KIP)Designated research institute company No. 2,000