Intelligence for Real Factory Work.

We’re building Eternal to connect factory data, AI agents, and everyday decisions with people in control.

Machine 12 stopped. Which orders are affected, and what can we replan?

Machine 12 stopped. Which orders are affected, and what can we replan?

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Abstract green glass blocks arranged as a stepped bar chart

The Challenge

Factory agents need more than a prompt.

Factory data is scattered. Agents need shared context and clear limits.

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Scattered Data

Orders, machine records, and shift updates live in separate systems.

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Real Constraints

Capacity, materials, and tooling set the limits of every plan.

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Disruptions Need Decisions

See the impact of a disruption and review the next move.

Solutions

One intelligence layer for factory operations.

Connected Factory Context

Eternal is being built to connect factory data, systems, and knowledge in one shared context.

Factory Data

Shared Context

Connected Systems

Build a plan from factory inputs

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Explore the State

Agents for Factory Work

Context-aware agents for planning, quality, maintenance, and materials—with clear limits.

Factory Workflows

Constraint Checks

Human Review

Eternal

Evaluating

Checking Constraints

Planning

Draft

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Planning

Draft

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Planning

Draft

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Scheduling

Evaluating

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Scheduling

Evaluating

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Scheduling

Evaluating

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Monitoring

Review

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Monitoring

Review

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Monitoring

Review

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Evaluating the proposed plan...

Decisions You Can Review

See the evidence, compare options, and keep people in control of consequential decisions.

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Planner-reviewed decision loop

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+12.5%

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+3.1%

Capabilities

Intelligence across factory operations

One intelligence layer for production, quality, maintenance, and materials.

  • Production Planning

  • Check Capacity

  • Inspect Quality

  • Track Maintenance

  • Review Materials

  • Resolve Downtime

  • Compare Schedules

  • Check Constraints

  • Request Approval

  • Record Decisions

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Decisions Across the Factory

Connect operational context to the next decision in production, quality, maintenance, or materials, with evidence and human authority carried through.

Factory question:

Production

Quality

Maintenance

Materials

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CHANGE

“Machine 12 unavailable”

WORKFLOW

Source-Backed Context

See where planning inputs came from and which values remain unknown before anyone relies on a recommendation.

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ILLUSTRATIVE SCENARIO
Machine 12 unavailable
3 orders affected · 2 options compared
Planner review pending
Action held until approval

Human-Governed Decisions

Agents can draft and explain options; deterministic checks and named planner approval stay in the decision path.

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Existing-System Inputs

Use reviewed exports and shop-floor records without replacing the systems a factory already relies on.

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Existing-System Inputs

Use reviewed exports and shop-floor records without replacing the systems a factory already relies on.

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Existing-System Inputs

Use reviewed exports and shop-floor records without replacing the systems a factory already relies on.

Process

From Factory State to Governed Action

Read the context. Evaluate options. Review before action.

Read Factory State

01

Connect source systems, check lineage, and resolve the operating context for the decision.

Evaluate Options

02

Approve & Act

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Reading factory state

Factory Decision Flow

Factory Event

Decision Service

Human Approval

Decision Review

Stage

Review

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Options

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Approval Gate

ACTIVITY

Read Factory State

01

Connect source systems, check lineage, and resolve the operating context for the decision.

Evaluate Options

02

Approve & Act

03

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Reading factory state

Factory Decision Flow

Factory Event

Decision Service

Human Approval

Decision Review

Stage

Review

0

Options

0

Approval Gate

ACTIVITY

Read Factory State

01

Connect source systems, check lineage, and resolve the operating context for the decision.

Evaluate Options

02

Approve & Act

03

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Reading factory state

Factory Decision Flow

Factory Event

Decision Service

Human Approval

Decision Review

Stage

Review

0

Options

0

Approval Gate

ACTIVITY

Security

Authority Built into the Workflow

Eternal is being built with traceable data, clear permissions, and human approval.

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Source Lineage

Trace admitted planning inputs back to their source and validation rule.

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Source Lineage

Trace admitted planning inputs back to their source and validation rule.

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Constraint Checks

Evaluate proposed plans against hard production constraints before review.

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Constraint Checks

Evaluate proposed plans against hard production constraints before review.

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Human Approval

Replans remain proposals until a named planner accepts, edits, or rejects them.

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Human Approval

Replans remain proposals until a named planner accepts, edits, or rejects them.

FAQ

Questions About Eternal?

Have a factory workflow?

Talk through your sources, constraints, and approvals with Flux AI.

What is Eternal?

Eternal is Flux AI’s factory intelligence layer, being built to connect operational data, decision services, agents, and human authority in physical operations.

What factory systems can it use?

Where does the first workflow begin?

How does it handle constraints?

Who approves a factory action?

How is a recommendation checked?

How does a deployment start?

FAQ

Questions About Eternal?

Have a factory workflow?

Talk through your sources, constraints, and approvals with Flux AI.

What is Eternal?

Eternal is Flux AI’s factory intelligence layer, being built to connect operational data, decision services, agents, and human authority in physical operations.

What factory systems can it use?

Where does the first workflow begin?

How does it handle constraints?

Who approves a factory action?

How is a recommendation checked?

How does a deployment start?

FAQ

Questions About Eternal?

Have a factory workflow?

Talk through your sources, constraints, and approvals with Flux AI.

What is Eternal?

Eternal is Flux AI’s factory intelligence layer, being built to connect operational data, decision services, agents, and human authority in physical operations.

What factory systems can it use?

Where does the first workflow begin?

How does it handle constraints?

Who approves a factory action?

How is a recommendation checked?

How does a deployment start?

Let’s Talk

Bring agents into your factory workflows

Start with one factory workflow. Connect the context and keep people in control.

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Let’s Talk

Bring agents into your factory workflows

Start with one factory workflow. Connect the context and keep people in control.

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Let’s Talk

Bring agents into your factory workflows

Start with one factory workflow. Connect the context and keep people in control.

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