Pilot wedge · first proof
Investor preview · Industrial success partner
The operating system for industrial decisions.
Metron turns machine truth into accountable factory and executive decisions: Core first, then applications that compound on the same data fabric.
Scenario inputs reflect a typical mid-market plant baseline for discussion — not an audited customer result.
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Investment thesis
Factories need a trusted operating layer before more dashboards.
The opportunity is not another OEE point tool. It is an industrial data platform that connects the shop floor, operations, enterprise systems, and governed AI on one source of truth.
Core path
Scale path
Industrial Core
From signal to accountable decision.
Scroll the layers or select a stage. Each application reads from the same governed industrial truth; nothing is presented as a live plant feed.
Product surfaces
One Core. Purpose-built operating surfaces.
The product story moves from the operator and line supervisor to enterprise planning—not from a generic dashboard to an AI promise.
Production Intelligence
Loss trees, output pace, and shift context.
OEE
Availability × Performance × Quality with explicit policy.
Quality
Checks, holds, and evidence around the event.
Maintenance
Downtime context and human-approved work drafts.
Energy
Intensity alongside production truth.
MES Lite
Thin work-order execution at ISA-95 Level 3.
ERP Sync
Idempotent, audited status synchronization—not ERP replacement.
Digital Twin
Graph and time-series binding for operational context.
Industrial AI
Evidence-backed recommendations with human approval.
Value model
Make the formula visible before making a promise.
Start from a mid-market plant baseline. The model shows downtime exposure from A × P × Q drivers — it does not forecast savings or investment returns.
OEE = Availability × Performance × Quality · Exposure = machines × downtime hours × cost per downtime hour.
Integration map
Designed between the shop floor and the enterprise—not above either.
Every connector is shown with its honest product state. Site-approved PLC tags and ERP field maps remain customer configuration, never marketing defaults.
Edge & controls
- PLC & sensors
- OPC UA
- Modbus TCP where required
- MQTT edge streaming
Industrial data platform
- Event broker
- TimescaleDB
- Industrial registries
- Azure Blob
Enterprise systems
- SAP
- Odoo
- Dynamics
- Oracle
- CMMS & BI
Workflows & developer tools
- REST query/admin APIs
- Connector plugin SDK
- Webhooks
- Human-in-the-loop workflows
Why this can compound
The defensibility is in the operating model, not a dashboard skin.
Open industrial path
OPC UA preferred and MQTT streaming, with a translator law for normalized events.
One governed truth
Contracts, tenant isolation, auditability, and a shared asset model before applications.
Success partnership
We partner on measurable plant outcomes — downtime down, OEE up — with multi-language operator UX and open standards.
Safe AI posture
Recommendations can assist; safety-critical OT actions retain explicit human approval.
Execution roadmap
Build the truth layer first. Earn the intelligence after.
The roadmap follows the platform architecture and keeps dashboards as consumers—not systems of record.
Industrial Core
Contracts, event bus, registry, time series, twin skeleton, observability, and connector SDK.
Machine & Factory Intelligence
Twin binding, OEE, operator workflow, quality, maintenance, energy, and MES Lite.
Enterprise Intelligence
Productized ERP connectors, multi-site rollups, executive AI, and agent workflows with HITL.
Plant baseline scenario
See the industrial thesis in one conversation.
Share the use case, target market, or partnership angle. This route intentionally does not represent a live lead-delivery system.