Manufacturing Intelligence · Purple Factory

From factory signals to next steps.

Purple Factory is designed to connect manufacturing data, candidate causes and proposed actions through specialist teams and human review.

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01Core · Connect
02AI · Predict
03Agent · Decide
04Autonomy · Optimize

Purple Factory · Multi AI Agents

Specialist teams for every manufacturing decision

7 teams and 28 defined roles connect planning, quality, logistics, maintenance, energy and operations. Choose a team to explore its responsibilities and example outputs.

Role catalog and example workflows. Available integrations and execution scope depend on the deployment stage and site requirements.

01 / Manufacturing

Production planning

Balance delivery dates, capacity and material constraints.

Review orders, capacity and supply risks to propose feasible sequences and compare schedule alternatives.

Perceive: Orders, capacity and material availability
Plan: Sequence and what-if schedule comparison
Act: Planning recommendations and decision records

Planning Agent

Review production sequence and capacity to propose feasible plans.

Example output: Sequence and capacity recommendations

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Material Agent

Identify shortage and late-supply risks before they disrupt plans.

Example output: Material risk list

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Simulation Agent

Compare schedule alternatives and their operational impact.

Example output: What-if comparison

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Approval Agent

Track planner decisions and their supporting evidence.

Example output: Decision and approval records

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02 / Manufacturing

Quality

Connect inspection findings to causes, corrective actions and evidence.

Review defect patterns and supplier risks, coordinate corrective and preventive actions, and prepare quality evidence.

Perceive: Inspection results, defects and supplier issues
Plan: Cause candidates and action priorities
Act: CAPA coordination and audit evidence

Quality Agent

Coordinate inspection and corrective and preventive action workflows.

Example output: Inspection and CAPA status

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Defect Agent

Analyze defect patterns and candidate causes for review.

Example output: Defect patterns and cause candidates

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Supplier Agent

Track supplier risks and hold or release issues.

Example output: Supplier risk and hold reviews

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Audit Agent

Organize quality decisions and records for audit preparation.

Example output: Audit evidence package

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03 / Manufacturing

Logistics

Coordinate inventory, robot dispatch and shipment readiness.

Review stock and transport tasks together, identify inventory exceptions, and recommend dispatch and shipment priorities.

Perceive: Inventory, transport tasks and shipment status
Plan: Stock exceptions and dispatch priorities
Act: Transport recommendations and readiness reports

Logistics Agent

Coordinate inventory, dispatch and logistics exceptions.

Example output: Logistics priorities

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Inventory Agent

Identify shortage, overstock and misplaced inventory risks.

Example output: Inventory exception list

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Fleet Agent

Recommend dispatch priorities for AMRs and AGVs.

Example output: Robot dispatch recommendations

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Carrier Agent

Track shipment readiness and service-level risks.

Example output: Shipping readiness and delay risks

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04 / Manufacturing

Maintenance

Turn equipment risks into maintenance and parts preparation.

Review equipment signals, alarms and failure risks to recommend servicing windows and prepare required spare parts.

Perceive: Equipment signals, alarms and spare availability
Plan: Maintenance windows and task priorities
Act: Maintenance recommendations and parts checks

Maintenance Agent

Recommend servicing windows and maintenance priorities.

Example output: Maintenance plan

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Predictive Agent

Explain failure risk and remaining-useful-life confidence.

Example output: Risk and prediction confidence

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Alarm Agent

Group related alarms and prioritize investigation.

Example output: Alarm clusters and triage

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Parts Agent

Check spare availability and procurement needs.

Example output: Spare parts checklist

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05 / Manufacturing

Energy & carbon

Bring energy use and carbon impact into operating decisions.

Monitor energy performance and peak risks, assess load-shifting options, and organize carbon and sustainability reporting evidence.

Perceive: Energy patterns, peak risks and carbon inputs
Plan: Load-shifting options and carbon impact
Act: Energy recommendations and reporting drafts

Energy Agent

Monitor energy performance and peak-demand risks.

Example output: Energy and peak risk overview

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Carbon Agent

Calculate carbon impact and organize reporting evidence.

Example output: Carbon estimates and evidence

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Peak Agent

Recommend load shifting and peak-reduction options.

Example output: Peak reduction recommendations

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ESG Agent

Organize energy and carbon information for sustainability reports.

Example output: Sustainability report draft

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06 / Manufacturing

AI operations

Connect cross-team issues to evidence-based next steps.

Investigate exceptions, retrieve operating guidance and coordinate specialist findings into actions for operator review.

Perceive: Anomalies, exceptions, procedures and cases
Plan: Impact, urgency and escalation review
Act: Issue summaries and proposed actions for approval

Operations Agent

Coordinate plant-wide exception handling and escalation.

Example output: Response and ownership summary

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Knowledge Agent

Summarize operating procedures and best-practice guidance.

Example output: Procedure and case summaries

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Exception Agent

Investigate anomaly signals and candidate root causes.

Example output: Issue evidence and cause candidates

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Action Agent

Draft recommended next steps for human review and approval.

Example output: Proposed action draft

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07 / Manufacturing

Autonomous execution

Coordinate execution and recovery within approved boundaries.

Assess task allocation and recovery options against operating policies and constraints, with operator review and fallback paths.

Perceive: Tasks, available resources and policy constraints
Plan: Assignment, recovery and action feasibility
Act: Approved execution handoff and fallback procedures

Autonomy Agent

Coordinate autonomous decisions and fallback policies.

Example output: Execution and fallback policies

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Dispatch Agent

Prepare mission and resource assignments for current conditions.

Example output: Task and resource assignments

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Recovery Agent

Plan corrective actions when constraints change.

Example output: Recovery plan

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Safety Agent

Check action feasibility and compliance boundaries.

Example output: Feasibility and policy review

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How the teams work together

When defects increase

Defect reviews patterns and candidate causes. Quality coordinates corrective actions, Maintenance reviews servicing needs, and Action prepares a proposal for approval. Audit organizes the evidence.

When materials arrive late

Material identifies supply risks, Planning reviews the sequence, and Simulation compares alternatives. Approval records the planner’s decision; Logistics and Fleet review transport changes.

Illustrative workflows based on role definitions; end-to-end availability depends on integration and validation.

Start with a defined operational scope

Current demonstrations primarily use simulated data with limited live pipeline integration. Site-specific data connections, approval policies and equipment execution require scoping and validation. These roles describe the solution design, not 28 independently deployed services.

Discuss your use case

Specialist teams for every manufacturing decision

7 teams and 28 defined roles connect planning, quality, logistics, maintenance, energy and operations. Choose a team to explore its responsibilities and example outputs.

Role catalog and example workflows. Available integrations and execution scope depend on the deployment stage and site requirements.

How the teams work together

When defects increase

Defect reviews patterns and candidate causes. Quality coordinates corrective actions, Maintenance reviews servicing needs, and Action prepares a proposal for approval. Audit organizes the evidence.

When materials arrive late

Material identifies supply risks, Planning reviews the sequence, and Simulation compares alternatives. Approval records the planner’s decision; Logistics and Fleet review transport changes.

Illustrative workflows based on role definitions; end-to-end availability depends on integration and validation.

Start with a defined operational scope

Discuss your use case