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).
One agent layer between the business
and the factory floor
Above, the engineering and business flow. Below, the real production line. In the middle, DeepAuto's agents connect every step as one intelligent flow.
CAD, BOM, simulation, and quality agents intervene at each step, so a single change ripples through quoting, the BOM, and the line without ever leaving the platform.
The platform, on the automotive line
The same agent layer threads a real production line across stamping, body, paint, assembly, quality, and delivery, so every stage runs on one intelligence.
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.
More than ERP: the Enterprise OS that runs the floor
Every factory is different. Agent adapts, schema can't.
For factory owners and operators, DeepAuto turns scheduling, inventory, orders, and work execution into one adaptive system, absorbing each factory's own processes, constraints, and vocabulary, so the system fits the floor, not the other way around.
The agent adapts to each factory's schema. One unified model, no rigid template.
The OS is not a dashboard layer. It acts across live operations.
From inventory and suppliers to production and quality, the agent detects risk, explains the cause, and triggers the next action.
| Part | Category | On-hand | Allocated | Available | Reorder pt | Unit cost | Status | |
|---|---|---|---|---|---|---|---|---|
| Hydraulic Seal Kit | Seals | 320 | 90 | 230 | 80 | $42 | In stock | |
| Bearing Assembly 6204 | Bearings | 52 | 8 | 44 | 60 | $128 | Low | |
| Brake Line Set | Brakes | 26 | 12 | 14 | 40 | $76 | Critical | |
| Coolant Pump Unit | Pumps | 8 | 5 | 4 | 30 | $210 | Critical | |
| Gasket Set A-103 | Seals | 140 | 40 | 100 | 60 | $18 | In stock | |
| Filter Cartridge | Filters | 78 | 30 | 48 | 60 | $24 | Low | |
| O-Ring Pack (50) | Seals | 540 | 120 | 420 | 100 | $9 | In stock | |
| Drive Belt 8PK | Belts | 18 | 10 | 8 | 50 | $54 | Critical |
Illustrative product view with generic parts and figures.
Agentic ERP for high-mix, low-volume
and engineer-to-order
In high-mix, low-volume and engineer-to-order production, every order is different,
inventory and procurement never settle, and a single design change cascades into delivery delays.
The design exists, but every order is a new variant.
A custom design starts every job.
Engines, seats, layout, never the same twice.
High-mix breaks forecasting. The part you stocked isn't the part you need.
One late part strands the whole build.
A single change order can trigger re-certification that takes up to 4–5 years.
Old ERP was built for none of this.
One agent layer across quotation, engineering, BOM, procurement, production, and supply chain.
In high-mix, low-volume and engineer-to-order work, a single part change ripples across the whole stream. Agents reason over the live state and resolve it across every stage. A human confirms.
Price each variant from the live BOM and real lead times.
Absorb the change into the design and the playbook.
One change propagates through body, chassis, and engine.
Check stock and raise POs against actual lead times.
Re-sequence work and schedules around the change.
Coordinate suppliers and notify the customer. A human confirms.
One change flows through body, chassis, engine, and wheels, with no manual re-keying.
Veteran know-how (“4.0L needs reinforced mounts”) written into a knowledge graph.
Graph, relational, and vector stores as one queryable foundation.
Runs as a use case of Agentic Manufacturing OS, one agent layer, not a separate OS.
One Enterprise AI Platform
for all of manufacturing
An AI engineer on every line, reasoning over the Agentic Lakehouse
and running 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, and the factory lives inside the plant.
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