Skip to main content

Industrial operational intelligence

See what your plant is doing. Understand what it is costing. Act on what matters.

Operational intelligence for food and beverage plants—connecting energy, production, equipment and critical process records from the systems you already have.

Works with existing PLCs, SCADA, historians, meters, and production data. Cloud, hybrid, or deployed with your plant systems. No controls replacement required.

Plant performance overview

Illustrative example: sample data, not a customer result.

In the product

Operational views that feel like the plant, not another BI tile

Illustrative experiences across visibility, utilities, and expert-enabled findings.

Live process · Pasteurizer A

Illustrative example: sample data, not a customer result.

Utilities intensity · Plant overview

Illustrative example: sample data, not a customer result.

Findings queue · Weekly review

Illustrative example: sample data, not a customer result.

The data is in the plant. The decision is still trapped between systems and people.

Plants contain useful data, but it is fragmented across PLCs, SCADA, historians, meters, spreadsheets, and human expertise.

Visibility alone is useful. Value increases when data is organized around real production and maintenance decisions, so teams can see what changed, what it cost, and what to do next.

Before

  • PLC tags
  • SCADA screens
  • Meter readings
  • Historian trends
  • Spreadsheets
  • Maintenance notes
  • Consultant knowledge

After

Connected PlantIQ Operational Model

Signals tied to sites, areas, lines, assets, processes, products, events, KPIs, and actions.

Platform model

Connect → Contextualize → Observe → Understand → Act & Learn

PlantIQ turns fragmented plant data into an operational model that supports decisions, not another siloed dashboard.

  1. 1

    Connect

    Ingest signals from PLCs, SCADA, historians, meters, and production systems.

  2. 2

    Contextualize

    Map signals onto the real plant: sites, areas, lines, assets, processes, and products.

  3. 3

    Observe

    Create live visibility and historical traceability operators and managers can trust.

  4. 4

    Understand

    Surface losses, deviations, abnormal behavior, and improvement opportunities.

  5. 5

    Act & Learn

    Prioritize actions, track ownership, verify outcomes, and improve the plant model.

The PlantIQ Operational Model connects signals to the real plant: assets, processes, products, events, KPIs, and actions, so every dashboard and recommendation has context.

One operational layer across the plant.

Solutions

Start with the decision that matters most. Expand on the same platform.

Solution families share one operational model, so plants can begin with visibility, compliance records, yield, utilities, reliability, or electrical assets without creating disconnected tools.

Expert-Enabled Managed Intelligence

Software keeps watch. Experts help your team decide.

Not every industrial problem can be solved by a threshold or dashboard. PlantIQ can combine continuous data monitoring with scheduled review by qualified maintenance, process, energy, or electrical experts.

Findings are evidence-based, prioritized, assigned, and tracked to outcome.

  • Prioritized findings queue
  • Weekly or agreed review cadence
  • Monthly operating-intelligence review
  • Incident deep dives
  • Recommendation cards with evidence and confidence
  • Action register with owner and status
  • Savings, reliability, or performance verification
  • Reusable asset and process playbooks
Explore Managed Intelligence

Operating loop

Continuous monitoring, strengthened by expert judgment

Expert-Enabled Managed Intelligence combines persistent software visibility with scheduled specialist review and an accountable action loop.

  1. 1.Connect and contextualize
  2. 2.Monitor continuously
  3. 3.Surface meaningful change
  4. 4.Expert review
  5. 5.Recommend and prioritize
  6. 6.Plant decision and execution
  7. 7.Verify and learn

Illustrative stories

How plants use operational intelligence

Sample scenarios for orientation, not customer case studies or guaranteed outcomes.

  • Illustrative example

    Pasteurization visibility and traceability

    Situation: A live process view transitions into a historical run timeline with temperature, flow, pressure, phase duration, and deviation markers.

    Intelligence: Illustrative scenario: explore the related solution for experiences, data needs, and deployment path.

    Learn more
  • Illustrative example

    Yield and waste

    Situation: Production input, good output, waste/rejects, variance to expected yield, and estimated financial impact using approved assumptions.

    Intelligence: Illustrative scenario: explore the related solution for experiences, data needs, and deployment path.

    Learn more
  • Illustrative example

    Pump or compressor reliability

    Situation: An operating-point shift, repeated trips, expert annotation, recommended checks, and verified post-action improvement.

    Intelligence: Illustrative scenario: explore the related solution for experiences, data needs, and deployment path.

    Learn more
  • Illustrative example

    Utility intensity

    Situation: Electricity or gas normalized by product output, change from baseline, peak overlap, and the action that reduced cost.

    Intelligence: Illustrative scenario: explore the related solution for experiences, data needs, and deployment path.

    Learn more

Architecture

Built for brownfield plants, not rip-and-replace

PlantIQ sits above existing control and data systems. Deploy cloud, hybrid, or in your environment without becoming the control layer.

  • Sources: PLC, SCADA, historian, meters, ERP/MES, CMMS
  • PlantIQ operational model with Cloud, hybrid, or deployment with your plant systems
  • Experiences: live views, loss and KPI cards, expert findings, action register

How we engage

Discover → Scope → Connect & model → Go live → Validate → Expand

A practical path for brownfield plants, start where value is clearest, then scale with evidence.

  1. 1

    Discover

    Clarify plant priorities, available data, and the fastest credible starting point.

  2. 2

    Scope

    Define the pilot boundary, success criteria, systems in scope, and owners.

  3. 3

    Connect & model

    Connect sources and build the operational model for the selected lines and assets.

  4. 4

    Go live

    Stand up live views, calculations, and workflows your teams can use daily.

  5. 5

    Validate

    Review findings with plant stakeholders and confirm value against agreed criteria.

  6. 6

    Expand

    Extend to more assets, solution families, or Managed Intelligence cadence.

Partners

Built to work with the people already trusted by the plant.

PlantIQ works with automation and system integrators, maintenance and reliability consultants, energy/process consultants, OEMs, and electrical specialists.

Who we work with

  • Automation and system integrators
  • Maintenance and reliability consultants
  • Energy and process consultants
  • OEMs and equipment manufacturers
  • Electrical and power-system specialists

Partner value

  • Attach recurring digital service to existing customer relationships.
  • Productize domain expertise.
  • Create reusable monitoring and service playbooks.
  • Deliver joint pilots and scalable plant intelligence.
  • Offer white-label or co-branded models where appropriate.

Next step

Start with one plant decision worth improving.

Bring us the process, asset, utility system, or production loss that matters. We will assess the available data, define a focused first deployment, and show how it can scale across the plant.