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The Data Foundation Journey

Connect every machine.
Trust every number.

Run the data foundation behind your Unified Namespace, connected, normalized, and governed across your entire global footprint, so it’s actually ready for AI.

The Problem

Your machines are talking. Your data isn't.

Everyone wants a Unified Namespace: one real-time source of truth feeding analytics and AI. However, the #1 cause of UNS failure is governance and data quality, not the broker.

Raw, inconsistent OT data

Every machine names things differently: fault vs. alarm, different cycle-time math. Without harmonization you get a chaotic namespace, not a unified one.

No context, no master data

A tag of “225°” means nothing until you tie it to product, work order, and process step, and to trusted asset, BOM, and site records.

Governance becomes unmanageable

Schema-less publishing across hundreds of plants drifts into duplicate, ungoverned chaos. No one owns the namespace.

It breaks at global scale

Sites disagree on naming and hierarchy. Synchronizing one model across plants and millions of points is where rollouts die.

Inside the Foundation

One trusted model of your factory, owned for you.

The Data Foundation accelerates the manufacturing AI transformation journey by making trustworthy, contextual data available faster and at greater scale.

1 · CONNECT

Connect everything

OT and IT: PLCs, SCADA, sensors up through MES, ERP, historians and data lakes. Legacy or modern. Hundreds of prebuilt connectors.

2 · NORMALIZE

Normalize & contextualize

We turn raw tags into contextual events tied to product, asset, BOM and site: a governed semantic model that stays consistent everywhere.

3 · GOVERN

Govern & operate

Arch owns the namespace: standards, lineage, access control and ongoing management, so the foundation stays trustworthy at global scale.

Real-time operations (UNS)

The live current state of every line.

Trusted master data (MDM)

Golden records for asset, product, BOM, and site.

Fed, not replaced

Your MES, ERP, QMS, EAM, and historian all stay in place. The foundation reads from every one of them and maps context in both directions, down to the equipment and up to the enterprise. It sits alongside the systems you already run, never in place of them.

The Journey

The journey to an autonomous factory starts with governance and data quality.

Five levels separate siloed machines from a line that corrects itself. To accelerate operational performance and find operational excellence with AI, manufacturers must start with trusted, governed data at scale.

1

SILOED SYSTEMS

Machines run independently. A human bridges every gap by hand.

2

CONNECTED
SYSTEMS

Data flows to one central system. Teams see across lines for the first time.

3

UNIFIED MODEL

Product mapping and meaning span quality and planning. The data turns AI-ready.

4

AI ACTIONS

Agents run process, planning and quality use cases. Operations get ahead of problems.

5

AUTONOMOUS
AGENTS

AI runs the line in lock step with demand, correcting itself as it goes.

THE PROBLEM Siloed systems cap what AI can do.
DATA FOUNDATION (UNS + MDM)
Define Systems → Connect → Unified
FACTORY AI Quality / Planning / Optimization → Full Autonomous
Assess your Data Maturity ›

See which level your operation is on today.

The Product

The foundation, delivered as a product.

The Data Foundation is the governed model layer, and it comes with Arch Connector Platform beneath it, so you never assemble the two. It’s not just about the number of connectors. Many vendors can connect machines. The difference is how quickly connectivity enables the factory context required for operational intelligence, AI reasoning, and measurable outcomes.

THE GOVERNED MODEL LAYER

Arch Data Foundation

  • One governed model of the factory that every application and agent inherits.
  • Context synced out of your core manufacturing systems, mapped both directions.
  • Open APIs and lakehouse access, so the model stays yours and composable.

Built on Arch Connector Platform · 100+ machines connected in weeks, zero downtime

Traditional Connectivity
Arch Connector Platform
Connectivity is a project
Connectivity is a scalable capability
Focus on integrations
Focus on operational outcomes
Data collection is the goal
Factory intelligence is the goal
Engineering effort grows with scale
Connectivity scales with deployment needs
Connectivity precedes value
Connectivity accelerates value
Point-to-point integrations
Supports common data-thread and UNS strategies

Proof

Already proven at the world's largest manufacturers

Connectivity + UNS across the global footprint

Three centrally-managed regional brokers (Americas, Europe, Asia) standardizing machine data. Software and hardware connectors across SMT and mechanicals, fed back into MES.

From connectivity to AI at scale

Started in global SMT connectivity and analytics, the data foundation first. Then expanded to AI-guided action across factories. Jabil invested in Arch.

100+

machines connected in weeks, zero downtime

$5M+

saved via standardized data and AI maintenance

97%+

OEE improvement on critical SMT assets

Let's map your data
foundation
.

Start with one line. Prove the value. Scale globally.

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