PlantIQ Platform
A contextual operating model of the plant.
PlantIQ is a reusable operational-intelligence layer, not a collection of disconnected dashboards. It connects the systems you already have, models the real plant, and turns live and historical data into decision-ready views, calculations, findings, and action workflows.
The PlantIQ Operational Model connects signals to the real plant: assets, processes, products, events, KPIs, and actions, so every dashboard and recommendation has context.
PlantIQ operational layer
01
Connect
02
Model
03
Observe
04
Understand
05
Act
Live context
Actions in flight
- Reduce overnight airOwner set
- P-204 seal checkDue Thu
- Yield variance reviewOpen
Illustrative example: sample data, not a customer result.
Decision views
One plant model, role-aware operational experiences
Illustrative performance overview built on contextualized plant signals.
Plant performance overview
Electricity use
842k
This month
Efficiency
12.4
kWh / 1kL
Peak demand
2.1 MW
vs target
Power through the day
Efficiency vs last week's benchmark
Illustrative example: sample data, not a customer result.
Why it exists
One operational layer for brownfield plants
Brownfield plants do not need another system that ignores the controls, historians, and production records already in place.
They need one operational layer that can support visibility, compliance records, loss, utilities, reliability, and electrical-asset decisions on the same plant model.
Layered architecture
Source → Context → Intelligence → Experience → Action
One coherent stack from plant signals to decisions, without replacing controls.
Source
Connect to the systems the plant already runs.
- PLC and SCADA tags
- Historians and time-series stores
- Utility meters and electrical measurements
- Production counts, batches, and events
- Optional ERP, MES, and CMMS context
Start with the systems already running the plant
PlantIQ connects to PLCs, SCADA, historians, meters, production/MES/ERP context, and customer fact tables through approved architectures.
The default posture is decision support on top of existing controls, not rip-and-replace.
Operational Model / ontology
Every useful industrial signal eventually needs a home in the real plant: which site, area, line, process, asset, product, batch, event, KPI, and action it belongs to.
That contextual model is what keeps solution applications coherent as the plant expands from one decision to many.
- Reusable plant objects instead of one-off dashboard projects
- Shared definitions for KPIs, limits, and baselines
- Traceability from signal to decision
Live and historical data foundation
Operators, managers, and specialists need both current state and explainable history.
PlantIQ provides live views, timelines, trends, and event chronology tied to the operational model so investigations do not restart from raw tag lists.
Reusable calculations, events, baselines, and rules
Solution value depends on agreed logic: intensity, yield, operating envelopes, repeated trips, and other calculations that finance and operations can review.
Rules and baselines are configurable and auditable. Advanced models are used only where data volume, quality, labels, and validation justify them.
Role-based applications
Executives, operations, maintenance, utilities, and finance need different compositions of the same underlying truth.
PlantIQ applications are role-aware views and workflows on one platform, not separate products with conflicting definitions.
Action and recommendation workflow
Findings become useful when they carry evidence, recommended checks, ownership, priority, status, and verification.
Optional Expert-Enabled Managed Intelligence adds scheduled specialist review while leaving operating authority with the plant.
Deployment
Deployment and architecture
- Read-only default connectivity where appropriate
- Scoped access by role, site, system, or asset
- Customer ownership of plant data and operating decisions
- Integration through PlantIQ or qualified local partners
- No implied replacement of safety or control systems
Security principles
Decision support with disciplined access
Security posture is agreed with the customer. PlantIQ does not imply unsupported cybersecurity guarantees.
- Least-privilege access and role-based views
- Agreed network architecture for OT connectivity
- Auditability of access, recommendations, decisions, and outcomes
- No unsupported cybersecurity guarantees
- Customer permission required before any cross-customer data use or aggregation
Solutions
Applications on the same plant model
Start with one decision family and expand without rebuilding context from scratch.
Plant Visibility & Traceability
Live state and historical explainability across plant operations.
Explore solutionDigital Compliance & Audit Readiness
Continuous process records for quality, customer audits, and export readiness.
Explore solutionProduction Loss & Margin Intelligence
Yield, waste, downtime, and margin loss with trusted calculations.
Explore solutionUtilities & Energy Intelligence
Utility cost and intensity in production context.
Explore solutionReliability & Asset Intelligence
Evidence-first asset attention, optionally with managed experts.
Explore solutionElectrical Asset Intelligence
Electrical asset monitoring and service intelligence.
Explore solution
Layers at a glance
Source layer
Connect the systems and records the plant already trusts.
Context layer
Model the physical and operational reality of the plant.
Intelligence layer
Calculate, compare, and package evidence for decisions.
Experience layer
Present the right context to each operating role.
Action layer
Move from finding to verified outcome without losing the evidence trail.
Next step
See the platform against one real plant decision.
We will map your available systems, define the minimum operational model, and show how the first workflow can expand across solution families.