Agentic Manufacturing OS
The Enterprise OS that runs manufacturing. It turns engineering knowledge into AI engineers.
From parts to ships to plants to aircraft, every engineering process unified in one autonomous pipeline
The engineering knowledge crisis
Industrial knowledge doesn't preserve itself, drawings forget, documents forget.
And the engineers who hold the judgment are retiring faster than they can be replaced.
Experts are retiring
The most senior engineers are leaving the floor, and decades of hard-won judgment leave with them.
Knowledge is trapped
Know-how sits locked in P&IDs, specs, work logs, and individual memory, unsearchable and unexecutable.
Plants lose expertise
Every retirement erases experience a factory can't simply re-hire, and can't afford to lose.
Traditional software supports engineers.
Manufacturing OS creates AI engineers.
DeepAuto captures engineering knowledge in the Agentic Lakehouse, then puts it to work, autonomously.
One closed loop, getting smarter every cycle
Manufacturing OS keeps learning from every cycle.
Drawings, simulations, build plans, inspections, and feedback are written back into the same Lakehouse, making each next cycle faster and more accurate.
One closed loop, Understand → Design → Simulate → Build → Inspect, around the Agentic Lakehouse, getting smarter every cycle.
Plant OS and Manufacturing OS on one agentic foundation
Two operating systems for industry, sharing one agentic foundation.
The same Tri-Store Agentic Lakehouse captures
institutional engineering knowledge, and reasons over it.
Agentic Plant OS
Reads P&IDs and engineering drawings, builds the plant's equipment knowledge graph, and runs the engineering lifecycle for process plants.
Agentic Manufacturing OS
Drives design, simulation, and machining for discrete manufacturing, parts, molds, and assemblies, with engineers in the loop at every step.
Brownfield drawings become one connected knowledge base
P&IDs, specs, and work logs become Institutional, Domain, and Plant-Process knowledge graphs over a single Tri-Store the agent can reason across.
P&IDs and brownfield drawings become Institutional, Domain and Plant-Process knowledge graphs, over one Tri-Store of Graph, Relational and Vector.
Raw drawings become a living knowledge graph, a digital twin the agent simulates against, and decisions it executes, then writes back.
Built on the Enterprise AI Platform
Agentic Manufacturing OS is an application of the Enterprise AI Platform,
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
- Simulation layer (where applicable)
- Workflow execution
Full-Stack Framework
- Connectors & orchestration
- Runtime & workflows
- Deployment
One OS for every heavy-industry sector
Industrial-AI rivals each solve one problem, uptime, inspection, data plumbing.
DeepAuto captures institutional knowledge in an agentic lakehouse and runs the whole engineering-to-production lifecycle across every manufacturing sector.
Shipbuilding & Marine
Electronics & Semiconductor
Machinery & Machine Tools
Molds, Dies & Precision Tooling
Automotive & Mobility
Chemicals, Materials & Batteries
Autonomous design, simulation, and machining
AI agents autonomously design, simulate, and plan machining. Engineers review and give feedback in natural language.
8 hours becomes 5 minutes.
Illustrative, figures from internal benchmarks (deck p37/p44).
Simulation that runs inside your environment
Connects the customer's preferred engineering software with on-premise LLMs to automatically trigger, execute, and document simulations when CAD changes occur.
It shortens the design-analysis loop from days to minutes while preserving full traceability across design revisions, simulation results, and engineering decisions, without exposing sensitive design data outside the customer environment.
On-premise LLMs
Runs against models inside the customer environment.
Full traceability
Across design revisions, simulation results, and engineering decisions.
No data exposure
Sensitive design data never leaves the customer environment.
Simulation becomes an agentic workflow — triggered, run, and documented inside your environment.
One agent layer across the vehicle lifecycle
One agent layer across the entire vehicle lifecycle.
Reads every drawing, every work log, every batch.
Manufacturing Process + Agent Intelligence + Knowledge Infrastructure → one operational system.
Across the vehicle lifecycle, every stage becomes a measurable AI workflow.
From the first ECO to field warranty, the agent reads every drawing, work log, and batch, collapsing week-long handoffs into hours.
Each result is written back, so design, stamping, body, paint, assembly, quality, and field feedback stay one connected loop, instead of seven disconnected departments.
Before → after the Agentic Manufacturing OS, across the vehicle lifecycle.
Automotive runs as a use case of Agentic Manufacturing OS, one agent layer, not a separate OS.
An AI engineer on every line
Super Intelligence reasons over the Agentic Lakehouse
and runs the full engineering workflow.
The way your best engineer would, around the clock.
Designs
Generates and revises CAD, molds, and layouts from intent.
Verifies
Checks every change against ASME / API / ISO and prior results.
Simulates
Runs FEA, mold-fill, and CFD autonomously, then iterates.
Documents
Writes back specs, decisions, and full traceability for the next cycle.
When Plant OS and Manufacturing OS converge, supply chains collapse into hours — the factory lives inside the plant.
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