MetronIndustrial AI OS

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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Plant baseline scenarioPlant baseline
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Approved signalsPlant baseline

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.

Plant baseline scenario1machine

Pilot wedge · first proof

Plant baseline scenarioOPC UA→ MQTT → Core

Core path

Plant baseline scenario1 → Nsites · plants · fleets

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.

01Plant baseline

Production Intelligence

Loss trees, output pace, and shift context.

02Plant baseline

OEE

Availability × Performance × Quality with explicit policy.

03Roadmap

Quality

Checks, holds, and evidence around the event.

04Roadmap

Maintenance

Downtime context and human-approved work drafts.

05Roadmap

Energy

Intensity alongside production truth.

06Roadmap

MES Lite

Thin work-order execution at ISA-95 Level 3.

07Roadmap

ERP Sync

Idempotent, audited status synchronization—not ERP replacement.

08Roadmap

Digital Twin

Graph and time-series binding for operational context.

09Design posture

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.

Plant baseline scenarioPlant baseline
OEE=Availability×Performance×Quality
Plant OEE
Plant baseline
Availability78%
Performance84%
Quality96%
Annual downtime exposure4,896,000Scenario currency units · adjust to the plant’s contribution cost.

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.

01Core in build

Edge & controls

  • PLC & sensors
  • OPC UA
  • Modbus TCP where required
  • MQTT edge streaming
02Core in build

Industrial data platform

  • Event broker
  • TimescaleDB
  • Industrial registries
  • Azure Blob
03Roadmap

Enterprise systems

  • SAP
  • Odoo
  • Dynamics
  • Oracle
  • CMMS & BI
04Roadmap

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.

Core in build

Open industrial path

OPC UA preferred and MQTT streaming, with a translator law for normalized events.

Core in build

One governed truth

Contracts, tenant isolation, auditability, and a shared asset model before applications.

Design posture

Success partnership

We partner on measurable plant outcomes — downtime down, OEE up — with multi-language operator UX and open standards.

Design posture

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.

Now01
Core in build

Industrial Core

Contracts, event bus, registry, time series, twin skeleton, observability, and connector SDK.

Next02
Roadmap

Machine & Factory Intelligence

Twin binding, OEE, operator workflow, quality, maintenance, energy, and MES Lite.

Later03
Roadmap

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.