Solutions by industry
AI that runs your plant, whatever you make
Anomaly detection, yield improvement, quality and batch traceability: proven use cases that start with one asset and grow into closed-loop automation across your plants.
Trusted by process manufacturers
What we solve
Six problems every process plant knows
The same use cases come back in every industry. Each one below is running in production today.
Anomaly detection
Catch process and equipment deviations before they become stoppages or quality issues.
Yield improvement
Find what drives output and steer it in real time, with set points for every condition.
Quality enhancement
Hold quality on target despite variable raw materials and changing conditions.
Batch traceability
Link raw materials to every batch, find root causes in minutes and see which batches are affected.
Predictive maintenance
Predict failures on critical equipment and plan maintenance instead of handling emergencies.
Energy and planning
Use less fuel for the same output, and build production plans in minutes instead of days.
Industries
Find your industry
Cement
+10% mill yieldKilns and mills in closed loop, from raw mix to stack.
Lime
50 autonomous kilnsCalcination optimised, quality on target, less fuel.
Metals & mining
+60% asset availabilityMore yield and less downtime, from the mine to the caster.
Chemicals & pharma
+15% batch consistencyReactions optimised and every batch on spec, with traceable models.
Food & beverage
4 cases in productionRoasting, brewing, bottling and line planning.
Oil & gas
+17% asset availabilityThroughput, uptime and product quality, from wellhead to refinery.
From pilot to closed loop
Start with one asset. Let it run itself. Scale.
Every case above followed the same path: prove the value on one asset, hand control to the model, then replicate.
Recommendations first
One asset connected. The model suggests set points and flags anomalies; operators stay in charge while the value is measured.
The model takes the wheel
Once trusted, set points go straight back to the control system, within the limits you define.
Every similar asset
The same model is replicated to other assets and plants in about a week, and maintained in one place.
One platform behind every case
Build, deploy and run your AI in one place
Your data, your models and your operators on one industrial AI platform: connect the plant, build or bring a model, then run it in production on every asset.
Case studies
Eight cases in production
Customer voice
“We decided to work with Wizata because they have a better business knowledge of process manufacturing than the competition and their collaborative approach allows us to stay in control of our IP.”
Head of Operations Support, Carmeuse
Next step
Start with one asset
Talk to one of our engineers, or spend one or two days with our team on your own data. We only propose a pilot when we can see the return.