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 an
AI-native operating system the next project runs on.
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.
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.
Engineering knowledge becomes an operating system
Drawings are where it starts. Every document, decision, and signal
becomes reusable intelligence that reasons over the plant and runs it.
- 01Engineering DocumentsP&IDs, PFDs, GADs, specs, and historian data
- 02Knowledge GraphEvery equipment, line, and instrument, linked
- 03Agentic LakehouseGraph, SQL, and vector stores as one data layer
- 04Reasoning EngineReasons over a causal model of the plant
- 05AI AgentsPlan and act on the work, engineers in the loop
- 06Plant TwinA living model that predicts, simulates, and verifies
- 07Plant OSOne system, from design through operations
Powered by the same Lakehouse + Super Intelligence platform
Agentic Plant OS is an application of the Enterprise AI Platform, on the same data foundation, intelligence layer, and full-stack framework that power every DeepAuto OS.
Agentic Lakehouse
- Enterprise data unification
- Structured + unstructured
- Knowledge graph
Super Intelligence
- Reasoning & agents
- World Model (where applicable)
- Workflow execution
Full-Stack Framework
- Connectors & orchestration
- Runtime & workflows
- Deployment
Ask the Super Intelligence in plain language.
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)
Reason
Reasons over a causal world model of the plant.
Simulate
Simulates outcomes through tools before acting.
Act
Acts on reality, closing the loop with the plant.
Run the plant from one live console
Super Intelligence watches the live plant, traces each issue
through the causal model, and recommends the fix,
grounded in the plant knowledge graph.
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
What the graph powers
- Maintenance
- Operation
- Safety
- Simulation
- Troubleshooting
- Optimization
Automation Pipeline
- 01P&ID Drawing Ingestion
- 02Process Structural Interpretation & Knowledge Extraction
- 03Agentic Pipe and Instrument Listing
- 04Human-in-the-loop Verification
- 05Self-Evolution & Final Result Generation
Key Benefits
- Operational EfficiencySearch, change detection, and impact analysis run automatically across every drawing.
- Knowledge CapitalizationEngineering know-how is captured as structured data instead of leaving with people.
- Compounding IntelligenceEvery drawing the system processes makes it better at the next.
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| LINE | SIZE | SPEC |
|---|---|---|
| L-001 | 6" | CS A106 |
| L-002 | 4" | CS A106 |
| L-003 | 3" | SS 316 |
| L-004 | 8" | CS A106 |
| L-005 | 2" | SS 304 |
| L-006 | 6" | CS A106 |
Actual deliverables are generated from client's proprietary engineering data.
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
- Equipment
- Piping
- Instrumentation
- Valve
- Line
- Tag
General Arrangement Drawings, made machine-readable
Agentic engineering vision turns General Arrangement Drawings into structured engineering data, ready for downstream engineering and construction.
- Equipment
- Layouts
- Spatial relationships
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.
Outputs are auto-generated by the twin, including 3D modeling, without manual modeling.
A living agentic plant twin auto-built from the P&ID, running safety, schedule, equipment routing and lighting as one agentic system
A digital twin auto-built from engineering documents, enabling thermo-fluid simulation and analysis without manual modeling
ITB · The bid
Turn engineering documents into a bid
At ITB, EPCs receive only PDF drawings, yet must produce every equipment, line, and valve list to price the bid. Today that is months of manual takeoff, by hand, before construction even starts.
P&ID, GA, and CAD, handed over as PDFs at ITB.
Every tag, line, and instrument, extracted automatically.
How equipment connects, the structure pricing depends on.
Quantities and materials roll up into a defensible number.
Ready in a fraction of the time, before construction starts.
Today
Dozens of engineers trace lines by hand into spreadsheets. Six months and more, at real cost, just to submit a bid.
With DeepAuto
The drawings become structured engineering data and a live engineering graph automatically, so the estimate, and the bid, come in a fraction of the time.
DeepAuto transforms engineering documents into structured engineering intelligence for EPC execution.
The counter to speak, while the call is still running
Plant deals are argued on numbers no one can verify in the room. The agent listens to the live call, checks every claim against ERP, CRM and market data, and hands back the counter before the moment passes.
Listens
The agent sits in on the live call and follows what is actually being claimed.
Checks
Every claim is checked against ERP, CRM and market data before it goes unanswered.
Unrolls
The counterpart's likely responses are unrolled three moves ahead.
Recommends
The counter to speak comes back while the call is still running.
- Energy costs
- FX
- Freight
- Payment terms
Repriced every quarter, so the position moves faster than the contract.
- Steel index
- Delivery slot
- Spec changes
- Shop load
No catalog price, so every vessel and valve is argued from scratch.
- Market price
- Abatement cost
- Policy
- Deadline
Buy the shortfall or sell the surplus, on a deadline that does not move.
One twin, from design through operation
The builder and the owner are not two products. They are two stretches of the same lifecycle, and each side learns from the other. Maintenance knows the design intent, and the next design knows the energy bill.
Concept to PFD, then PFD to P&ID, with the twin built as the drawings land.
P&ID to BOM, so what gets bought is what the drawings actually specify.
Routes and schedule, checked against the model instead of the last revision.
Energy, yield, uptime and emissions read off the same twin the builder handed over.
One twin carries the data and the intent across the whole line, so nothing is rebuilt at handover.
Runs on drawings, models, BOMs and schedules.
per project, on a $1.45B TIC reference project
Runs on process, control, reliability and HSE.
per year, on a $1B per-year site production value
Figures are the reference cases carried in the source material, stated with the basis they rest on.
EPCs build plants. Owners run them.
One Plant OS, seen from two sides: the EPC who builds the plant,
and the owner who runs it. Same platform, two perspectives.
Bid it, then build it
The team that engineers, procures, and builds the plant, from the ITB bid to handover.
One platform across the project, with structured engineering data instead of manual takeoffs.
Ready to become
AI-first?
Schedule a 30-minute demo and see how DeepAuto turns your enterprise data and workflows into working intelligence, in weeks.