Cyzag
Live at ProveIt 2027, Dallas, 9 to 12 February · What we will show →

Operational intelligence software for asset-intensive industries

Find the losses your alarms miss. Never pay for the same one twice.

Cyzag is AI-assisted operational intelligence software that reads your historian and shift logs, puts a price on each drift and points to the likely cause. It keeps what your people confirm, so the same loss is caught early next time.

  • Your historian stays
  • SAP stays
  • Nothing migrates
  • Ten-week pilot
  • A person approves every action
Line illustration of a process plant: storage tanks, distillation columns, exchangers and a pipe rack.

Published results · Cyzag Operations

Trusted by

  • Nobian
  • Nouryon
  • Perstorp, a subsidiary of PETRONAS Chemicals Group
  • Stolt Tankers (Stolt-Nielsen)
  • Deutsche Gasrußwerke
  1. Find the losses

    It learns your normal, watches for drift and prices it.

  2. Find the likely cause

    Each flag shows its likely cause and the evidence.

  3. Decide and act

    The action is drafted; a named owner approves it.

  4. Plant Memory

    If a problem starts again, you hear about it early, with last time's fix already attached.

The problem

Nothing went into alarm. Left alone, it costs about €180,000 a year.

The answer is already in your historian, last Tuesday's shift log and the head of the operator who retires in March. Nobody has time to put them together, so the drift runs for months.

Week 1Week 10Week 20Week 28

How it works

Cyzag reads the systems you already run. Nothing is replaced.

Your historian, lab and maintenance records are read, never written. Crews log the shift in Cyzag Operations; Cyzag Intelligence prices each drift and names the likely cause.

  1. Your systems Stay as they are Your historian, lab, maintenance and procedures, read-only. Nothing migrates.
  2. Cyzag Operations Runs the shift Handovers, rounds, improvement and quality, recorded as the crews work.
  3. Cyzag Intelligence Detects what is costing you, and names the likely cause Prices drift against each unit's learned normal.
  4. Your people Investigate and decide A root-cause workflow in Cyzag; a named person approves.

Where AI fits, and where it does not.

  • Statistics and machine learning Learn each unit's normal from its own history, and flag the drift.
  • The engine computes every figure Prices, durations and trends are calculated from your data, never written by AI.
  • Generative AI Drafts the explanation and the action, and answers questions about your plant in plain language.
  • A person approves Nothing changes in the plant without a named owner.

See how it is built →How Cyzag Intelligence works →

What you get

A ranked list of what is costing you money, each with its likely cause.

Every departure from normal, priced from your cost data, with its likely cause and evidence. Open a line and the evidence is already assembled.

See a working example →

Evaporation and utilities Week 28 · 4 open findings
Worked example
≈ €430,000 estimated annual exposure · ≈ €50 per hour
  1. EV-201 Steam per tonne 8% above normal Likely: Cleaning interval stretched from four to six weeks on 14 March Action approved €180,000 a year €21 / h
  2. C-210 Cooling water 12% above normal Likely: Temperature transmitter TT-212 reading high since its May calibration, so the loop over-cools Under review €120,000 a year €14 / h
  3. P-301 Vibration rising Likely: Alignment after coupling work; realignment cured the same symptom in 2024 Evidence assembled €78,000 a year €9 / h
  4. FIC-220 Control loop oscillating Likely: Valve stiction, with the controller fighting it New €52,000 a year €6 / h
Annualised at 8,760 operating hours from each unit's cost data. Estimated exposure, not realised savings. Every figure is computed by the engine; likely causes stay hypotheses until your people confirm them. See the evidence for EV-201 →

Plant Memory

Most industrial software detects problems. Cyzag remembers how they were solved.

Your people confirm the cause and the fix, and Cyzag keeps both against the equipment. If the same thing starts again, maybe a year later on a different shift, Cyzag spots it early and the flag already carries the fix.

Nobody starts from scratch, and nothing walks out of the door when someone retires.

The first time · March to July EV-201 steam 8% high for seventeen weeks before anyone knew why. Cause found and confirmed: cleaning stretched to six weeks. ≈ €59,000 lost in 17 weeks
The next time · October The same drift starts again. Flagged within the shift, with July's cause and fix already attached. ≈ €500 lost in a day

Shift log · Evaporation

9 and 10 July · week 28
  1. Thu 06:00 Handover · nights Steam on EV-201 high again all night. Nothing out of alarm. It has run like this for weeks.
  2. Thu 14:30 Flag · Cyzag Intelligence ≈ €21 / hour EV-201 steam use 8% above what it normally needs for this grade and season, since 14 March.
  3. Thu 14:31 Workflow started · root-cause analysis Likely cause, proposed by the engine: the cleaning interval stretched to six weeks. Feed rate and steam pressure checked and less likely. Agents attach the evidence and two similar flags from 2024.
  4. Fri 12:32 Cause confirmed · M. Keller, process engineer “We went to six weeks to save a stop. It fouls faster than we thought.”
  5. Fri 13:49 Action approved · area manager Back to a four-week clean, with owner and date.
  6. Week 32 Verified · Cyzag Intelligence Steam back inside its normal after one cleaning cycle. The fix held, and the outcome is recorded against EV-201.
  7. Week 40 Flag · Cyzag Intelligence The same drift caught within the shift, its likely cause recalled from the July record, before it cost a full day.

Every figure links to the reading behind it, and nothing changes in the plant until a named person approves it.

Safe by design →

Already on real plants

Cyzag runs every shift at more than 80 process plants in 11 countries, and across a global tanker fleet.

Customers include Nobian, Nouryon, Perstorp, Stolt Tankers and Deutsche Gasrußwerke. Ask for a reference and we will put you in touch with someone in your role at a customer site.

“We saw a 16% increase in OEE in less than six months. It was easy once we understood the main loss drivers.”
Plant manager · Germany
“Using Cyzag we were able to identify over-consumption and then set up a project to model and track the process, avoiding a loss of around €1M.”
Marc Boré · Nobian

Read the customer stories →

Start here

See it work on your own plant in ten weeks.

Clear success measures. Fixed scope and fee. No licence commitment until the results speak for themselves.