Operational AI for process manufacturing

Turn production data into operational value.

Intelecy connects to the plant systems you already run, finds where performance is lost, and delivers alerts, forecasts and recommendations your operators can act on — with closed-loop optimisation and documented value where the process allows.

Buy the operational outcome, not another specialist tool to maintain.

Reliability · Throughput · Quality and yield · Energy performance

Compressor CMP-042Live
Vibrationmm/s · last 24 h
NORMAL RANGEALARM LIMIT

Anomaly detected — bearing wear pattern, 9 days before the alarm limit is reached.

Recommendation

Reduce load to 82% and schedule inspection within 5 days.

Accepted
Estimated valueAvoided downtime · 36 h

Proven where it matters: in production

18% less downtime12% lower kWh/ton24% fewer off-spec batchesGartner Cool Vendor · Industrial AI 2025
The operational gap

The problem is not a lack of data. It is turning insight into action.

Most plants already have historians, dashboards and more alarms than anyone can follow. Yet deviations are still found too late, opportunities go unverified, and the gap between an insight and a changed operating point stays open. Intelecy closes the gap between where analytics stops and operational improvement begins.

How Intelecy works

From live plant data to operational action.

Intelecy combines an industrial data connection, machine-learning models built for time-series processes, operational delivery and value tracking in one repeatable workflow.

  1. 01

    Connect

    Link historians, OPC-UA sources and control systems through the Intelecy Gateway, or use supported cloud data sources. Keep the existing plant stack in place.

  2. 02

    Learn

    Train and operate industrial time-series models for anomaly detection, forecasting and prescriptive optimisation.

  3. 03

    Act

    Put alerts, forecasts and recommendations where operators and engineers can change the outcome.

  4. 04

    Close the loop

    Where the process, governance and safety case allow it, return approved actions or setpoints to DCS and SCADA within defined guardrails.

“Predictive models make operators smarter. Prescriptive models make operations better.”
Value that can be governed

Measured in plant KPIs, not model metrics.

Every deployment ties back to unplanned downtime, yield, energy per unit or throughput — with a shared language for where value stands, from first estimate to customer-verified result.

01

Potential value

The economic opportunity estimated from the size and frequency of the operational problem.

02

Identified value

A quantified opportunity detected or modelled by Intelecy, not yet realised in operations.

03

Realised value

Improvement that occurred after an operational action or change.

04

Verified value

Realised value accepted by the customer under an agreed baseline and attribution method.

Customer results

What operational AI looks like in production.

See all customer results →

Dairy production

Anomaly detection identified contamination risk before it stopped the line, supporting avoided downtime.

Protein production

Forecasting supported roughly 20% more throughput at unchanged energy use.

Bio-energy

Advanced analytics supported safe operation at 105% of nameplate capacity.

Shell Nyhamna

Reliability engineers used Intelecy to detect early signs of compressor seal degradation and identify a more energy-efficient operating envelope for compression cooling.

Managed operational AI

Buy the operational outcome, not another tool to maintain.

Intelecy runs the AI as a managed service — connecting data, building and monitoring models, and keeping recommendations live in your operation. Your team remains the process experts; we make sure the AI keeps performing.

  • Intelecy builds, monitors and retrains the models
  • Alerts and recommendations delivered into your workflow
  • Value tracked against agreed baselines
  • Your engineers and operators stay in the loop
One technology foundation

Operated for you. Owned when ready.

The operating model can change without replacing the data connection, models or underlying platform.

Managed by Intelecy

Intelecy operates the AI end-to-end: connection, models, monitoring and value tracking — delivering operational outcomes as a service.

Operated by your team

Your engineers own models end-to-end on the same platform, with Intelecy supporting enablement and governance.

Shared platform · Same connections · Same models
Complementary by design

Connect to the systems already running your plant.

Intelecy sits on top of the existing industrial stack as the outcome layer between production data and operational action. Connect to historians, OPC-UA sources and control systems through the Intelecy Gateway, with support for relevant Azure and AWS data sources. There is no need to replace the historian, DCS, SCADA or data platform to begin a qualified use case.

OSIsoft PIAVEVAAspenTechOPC UAMQTTKafkaREST API
The outcome layer
Operational actionAlerts · forecasts · recommendations · closed loop
IntelecyTime-series models · operational delivery · value tracking
Intelecy GatewaySecure read/write to the plant stack
Existing stackHistorian · DCS · SCADA · OPC-UA · Azure · AWS
From visibility to autonomy

Move as far as the process and business case require.

Start with visibility and progress step by step. Each level builds on the same platform, models and governance — no rip-and-replace as autonomy increases.

  1. L1

    Visibility

    Live process insight and exploration across tags, lines and sites.

  2. L2

    Prediction

    Anomaly detection and forecasts that surface deviations before they become losses.

  3. L3

    Prescription

    Recommendations and setpoint guidance delivered where operators can act on them.

  4. L4

    Approved autonomy

    Closed-loop write-back to DCS and SCADA within defined guardrails, where governance and the safety case allow.

Operational assurance

Control, transparency and process expertise stay visible.

Autonomy is earned, not assumed. Intelecy is built so your team can see what the models are doing, why, and how to take back control at any moment.

Scoped with the customer

Data access, model outputs and write-back are scoped and approved together with your team.

Transparent closed loop

Closed-loop operation is communicated with objectives, limits, supervision and an audit trail.

Rollback by design

Every automated action has a defined rollback path. Operators can always take back control.

ISO 27001 certified

Certified information security management, audited annually. EU-hosted by default.

Start with a real process

Where is performance being lost in your plant?

We will review the operational problem, available data and deployment fit, then recommend the most appropriate next step — whether that is a bounded assessment, a structured value workshop or a scoped Proof of Value.