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Agentic Plant OS

Plant OS turns P&IDs into operational intelligence — monitor, optimize, and design across refining, chemical, and power sites

Engineering knowledge walks out the door when a project ends.DeepAuto converts every drawing, document, and decision into anAI-native operating system the next project runs on.

P&ID → Plant KG
Drawings become a queryable plant knowledge graph
Agentic Plant Twin
A living twin auto-built from engineering documents
Proposal → Handover
Project lifecycle, up to 15× faster
Industrial Foundation

Plant OS and Manufacturing OS on one agentic foundation

Two operating systems for industry on one shared agentic foundation — process plants and discrete manufacturing, both turning engineering documents into structured, queryable intelligence.

Two industrial operating systems on one foundation — a process plant on the left and a discrete-manufacturing factory on the right

Agentic Plant OS

Process industry · operating assets · continuous flow. Reads P&IDs and engineering drawings, builds the plant's equipment knowledge graph, and runs the engineering lifecycle.

Agentic Manufacturing OS

Discrete industry · engineered products. Drives design, simulation, and machining for parts, molds, and assemblies — with engineers in the loop.

One agentic foundation
DrawingKnowledge GraphDigital TwinLifecycle Automation
How DeepAuto thinks

Engineering knowledge becomes an operating system

Drawings are where it starts. Every document, decision, and signalbecomes reusable intelligence that reasons over the plant and runs it.

1
Engineering Documents
P&IDs, PFDs, GADs, specs, and historian data
2
Knowledge Graph
Every equipment, line, and instrument, linked
3
Agentic Lakehouse
Graph, SQL, and vector stores as one data layer
4
Reasoning Engine
Reasons over a causal model of the plant
5
AI Agents
Plan and act on the work, engineers in the loop
6
Plant Twin
A living model that predicts, simulates, and verifies
7
Plant OS
One system, from design through operations
Shared Platform Foundation

Powered by the same Lakehouse + Super Intelligence platform

Agentic Plant OS is an application of the Enterprise AI Platform — the same data foundation, intelligence layer, and full-stack framework that power every DeepAuto OS.

Data Foundation

Agentic Lakehouse

  • Enterprise data unification
  • Structured + unstructured
  • Knowledge graph
Intelligence

Super Intelligence

  • Reasoning & agents
  • World Model (where applicable)
  • Workflow execution
Framework

Full-Stack Framework

  • Connectors & orchestration
  • Runtime & workflows
  • Deployment
Agentic Lakehouse + Super Intelligence powering Plant OS
“Read the Rev 3 P&ID — what is on it, and what does it take to understand?”
Super Intelligence
knowledge graphextracted specssemantic search
Graph DB
V-201inlet 4"→6"PSV-301SafetyCV-201removedbackflow riskPlant Knowledge Graph
SQL DBIllustrative
TagSpec
6" lineCS · Cl 150
Gate valveA105 · RF
CV-201removed
PSV-301resize
94.1% listing accuracy · 5 plants
P&ID → Machine-Readable
Vector DB
P&ID · Rev 3.pdf
FTLT
P&ID Search
P&ID · PFD · Drawings · Historian
P&ID
PFD
Historian
DCS
3-D Model
Docs

Illustrative example. Actual deliverables are generated from client's proprietary engineering data.

Ask the Super Intelligence in plain language.

Agentic World Model

The reasoning engine behind the Agentic Plant Twin

Agentic World Model — Reasons over a causal world model, simulates through tools, acts on reality (currently only available for Agentic Plant OS)

Reasoning pipeline
1Inputs2Knowledge Graph3Reasoning4Planning5Action6Continuous Learning
Continuous learning feeds every result back into the model
Step 1

Reason

Reasons over a causal world model of the plant.

Step 2

Simulate

Simulates outcomes through tools before acting.

Step 3

Act

Acts on reality, closing the loop with the plant.

Currently available only for Agentic Plant OS.
Operations Console

Run the plant from one live console

Super Intelligence watches the live plant, traces each issuethrough the causal model, and recommends the fix,grounded in the plant knowledge graph.

DeepAuto Agentic Plant Operations console — live digital twin of the plant with alarms, AI highlights, equipment tags, and the Super Intelligence reasoning panel (Reason, Simulate, Act, KG-verified)
Illustrative product view, generic parts and figures.
The shift

From fragmented systems to one living causal model

The plant does not change. DeepAuto adds an intelligence layer on top of existing assets, turning scattered documents and signals into one causal model you can reason over.

Agentic Plant OS intelligence layer over the live plant
TK-201Storage tank
R-101Reactor
E-101Heat exchanger
ΔP +12% · fouling
T-101Distillation column
Agentic intelligence · live causal model
Anomaly detected
ΔP +12% vs normal on E-101
Knowledge
scattered across systemsone queryable model
Diagnosis
reactive firefightingpredicted days ahead
Decisions
tribal, lost at handoverreusable and verified
The live model tracksEnergyEfficiencyThroughputPredictionMaintenance
P&ID Intelligence

Engineering documents become structured intelligence

Transform P&IDs into structured data to automate search, change detection, and impact analysis, streamlining workflows from design to operations

Structure
P&ID Drawing
General Arrangement Drawing
Plant KG
BOM
Agentic Plant Twin
What the graph powers
MaintenanceOperationSafetySimulationTroubleshootingOptimization
Automation Pipeline
  1. 1P&ID Drawing Ingestion
  2. 2Process Structural Interpretation & Knowledge Extraction
  3. 3Agentic Pipe and Instrument Listing
  4. 4Human-in-the-loop Verification
  5. 5Self-Evolution & Final Result Generation
Key Benefits

Operational Efficiency

Search, change detection, and impact analysis run automatically across every drawing.

Knowledge Capitalization

Engineering know-how is captured as structured data instead of leaving with people.

Compounding Intelligence

Every drawing the system processes makes it better at the next.

DeepAuto P&ID Intelligence Platform
Project Files
Project #1024
P&ID_Drawings
No.1_PD-00-00
No.2_PD-00-00
No.10_PD-10-01
No.19_PD-10-04
Piping_Material_Spec
Insulation_Spec
Line_Register
Equipment_List
No.1_PD
No.2_PD
No.3_PD
No.4_PD
P&ID Drawing — Piping and Instrument Diagram
AI Recognized — V-201 Region
Line Register (Auto)
LINESIZESPEC
L-0016"CS A106
L-0024"CS A106
L-0033"SS 316
L-0048"CS A106
L-0052"SS 304
L-0066"CS A106
6 lines auto-extracted

Actual deliverables are generated from client's proprietary engineering data.

PFD Graph
PID Graph
Capture Accuracy

Reading symbols isn't understanding meaning

Recognizing a symbol on a drawing is the easy part. Capturing what it means — the equipment, its connections, and its role in the process — is the hard part, and the part that has to be right.

94.1%
capture accuracy
captured at 94.1% accuracy across 5 different plants
Across engineering symbols
EquipmentPipingInstrumentationValveLineTag
GAD Intelligence

General Arrangement Drawings, made machine-readable

Agentic AI vision and OCR turn General Arrangement Drawings into structured, machine-readable data — ready for downstream engineering and construction.

GADAI Vision + OCRStructured Data
EquipmentLayoutsSpatial relationships
Agentic Plant Twin

A living twin, auto-built from your engineering documents

Agentic Plant Twin = Agentic AI × Physical AI

More than a 3D view, the twin reasons over the plant in real time, built from engineering knowledge, live plant data, and AI agents.

Agentic Plant Twin — a physical plant with a live causal intelligence layer
Agentic AI
Thermal/Fluid Dynamics Process Simulation
PFD
P&ID
Time-series sensor dataPhysical AI
Agentic Plant Twin
Agentic AI × Physical AI
Simulation & Analysis
3D Modeling

Outputs are auto-generated by the twin — including 3D modeling, without manual modeling.

One agentic system

A living agentic plant twin auto-built from the P&ID, running safety, schedule, equipment routing and lighting as one agentic system

Simulation without manual modeling

A digital twin auto-built from engineering documents, enabling thermo-fluid simulation and analysis without manual modeling

Convergence

When Plant OS and Manufacturing OS converge, supply chains collapse into hours — the factory lives inside the plant

Backed By

NAVER D2
SpringCamp
Company K Partners
Kolon Investment
SGC Partners
HB Investment
TS Investment
NAVER D2
SpringCamp
Company K Partners
Kolon Investment
SGC Partners
HB Investment
TS Investment

Trusted By

SGC E&C
Samsung E&A
YUDO
Eagle Rock Properties
LG SciencePark
StradVision
Cheil
KAIST
SGC E&C
Samsung E&A
YUDO
Eagle Rock Properties
LG SciencePark
StradVision
Cheil
KAIST
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