Manufacturing OS
The plant is measured continuously and understood weekly.
- MES
- Production, batches, yield
- SAP
- Orders, inventory, cost
- QMS
- Deviations, CAPA, specifications
- CMMS
- Assets, maintenance, downtime
- Supplier systems
- Lead times, quality, delivery
- Historian
- Sensor and process data
The data arrives by the second. The decisions still wait for the weekly review.
Plate data
- Industry
- Manufacturing
- Status
- Reference architecture
- Agents
- 06
- Layers
- 07
The architecture applied, published in full, ready to be built on.
Four questions those systems cannot answer.
- Why did yield drop on this line last shift?
- Which assets will fail in the next 30 days?
- Should we change the schedule, the supplier, or the process?
- Which system carries the change, and who authorises it under the quality system?
The industry, in miniature.
Plant, line, asset, batch, material, supplier, deviation, specification, work order, schedule.
Ontology fragment · manufacturing
ENTITY batch
RELATIONSHIP batch -> produced_on -> line
EVENT deviation_raised
METRIC first_pass_yield
RULE gmp_change_control (enforcement: block)
DECISION schedule_change
ACTION work_order_createIn regulated manufacturing, change control is a blocking rule. The system proposes. It does not amend a validated process.
Each one introduced by the question it answers.
Plant
What is limiting output across these lines this week?
Production
Why did yield drop on line 3 last shift?
Maintenance
Which assets will fail in the next 30 days, and what does that cost?
Quality
Which deviations share a root cause?
Procurement
Which supplier changes would reduce risk without raising landed cost?
Supply chain
Where will demand and capacity diverge next quarter?
What the Industry Pack contains.
- Ontology
- Batches, assets, materials and deviations.
- Reference workflows
- Shift review, root cause analysis, preventive maintenance and supplier review.
- Agent templates
- Six agents with change control boundaries pre declared.
- Connectors
- MES, SAP, QMS, CMMS and historian.
- Evaluations
- Built from historical deviations and their resolutions.
Two boundaries at once: safety and change control.
Both are declared, and both are enforced before execution.
requires_human_approval: process_parameter_changes quality_disposition supplier_qualification schedule_commitmentsRead next.
- Pharma OS
- The one with a product behind it. Same band order, plus deployment.
- Healthcare OS
- The same seven bands, applied to a different industry.
- Real Estate OS
- The same seven bands, applied to a different industry.
- Financial Services OS
- The same seven bands, applied to a different industry.
- The Super Brain spec
- The twelve required services and the three conformance levels.
- Industry Ontology Schema
- How the ontology fragment on this page is declared.
One architecture. Twenty pages. Same document.
This is the architecture applied, not a product yet.
Published in full and ready to be built on. Bring one line and one quarter of history, and the conversation gets concrete quickly.
A conversation, not a demo script. We ask what your systems of record are, what they cannot answer, and which decisions actually matter. If an Industry OS is not the right answer for you, we will say so.