Model the cause.
Test the change.
Cauza builds a dynamic structural causal model of your process from historical data and domain knowledge, then runs Monte Carlo counterfactual simulations against it.
CAUZA / THE PLATFORM
A model of your process.
A way forward.
FROM OBSERVATION
TO INTERVENTION.
TO INTERVENTION.
Cauza is a causal decision intelligence platform for industrial operations. It connects process data with domain knowledge to help teams understand what drives a KPI and test corrective actions in simulation.
Built by Insytes, Cauza brings causal modeling and plain-language questions into the same workflow. Start with the data you already collect and a decision you need to make.
HOW IT WORKS
TWO LAYERS. ONE CONNECTED WORKFLOW.Model the cause.
Ask Cauza questions in plain language.
Explore a result, question an assumption, or ask what happens if a variable changes. Cauza answers in terms your engineers use.
A WORKED EXAMPLE
Scrap rises every night shift.
Follow the cause.
Illustrative example,
fictional numbers.
An injection molding line loses more parts to scrap on every night shift. Everyone blames the night crew. The useful question is what to change.
- DEFINE
Start with one KPI.
The quality lead brings the scrap rate and the historical process data the line already records.
- UNDERSTAND
Find the real cause.
The model shows that the hall cools down at night, the molds cool with it, and colder molds drive scrap. The night crew only moves along with it.
- SIMULATE
Compare the options.
Preheating the molds, raising mold temperature at night, switching supplier, and slowing the line are tested side by side on the model. In this fictional example, preheating ranks first.
- DECIDE
Act on the detail.
Preheat molds 3 and 7 at 21:30, before the night shift, and watch the scrap rate. The team tests the change in a controlled way. A simulation is not a guaranteed outcome.
A DIFFERENT QUESTION
Beyond describing.
Beyond predicting.
Cauza focuses on interventions: what changes when you deliberately change the process?
BUSINESS INTELLIGENCE
What happened?
PREDICTIVE MODELS
What is likely to happen?
CAUZA / CAUSAL MODELING
What happens if we change this?
WORKING TOGETHER
A bounded pilot.
A decision you can evaluate.
One concrete question.
A KPI with an owner, historical exports, and a few hours of your process experts’ time.
A clearly scoped pilot.
A bounded project in weeks, with the scope and data requirements agreed together.
Something testable.
A causal graph, quantified drivers, simulated interventions, and a written recommendation.
GOOD QUESTIONS
A little more
understanding.
What is Cauza?
Cauza is a causal decision intelligence platform for industrial operations, developed by Insytes. It builds causal models of processes and simulates interventions to help teams decide what to change.
What data do we need?
Start with historical data that already leaves your machines and is queryable: historian data, MES exports, or spreadsheets. A KPI owner and process experts help identify the relevant variables. Data suitability is assessed around your specific KPI.
Do we need new sensors?
No new sensors are required to start. The first conversation focuses on the data your operation already collects and whether it is suitable for the question you want to answer.
How is this different from predictive machine learning?
Prediction estimates what is likely to happen given observed patterns. Causal modeling asks what would happen if you deliberately changed a variable. Cauza focuses on that intervention question; conclusions depend on the data and modeling assumptions.
What does a pilot involve?
One KPI with a named owner, historical exports, and a few hours of expert time. A bounded pilot produces a causal graph, quantified drivers, simulated interventions, and a written recommendation. Scope and timing are agreed together.
How long does a pilot take?
Pilots are scoped in weeks. The schedule depends on data readiness and the question being tested, and is agreed before work begins.
Where does Cauza run?
Cauza has run on AWS production infrastructure since April 2026. We discuss your security, data-processing, and deployment requirements before a pilot is agreed.
Who owns the pilot results?
Data rights and rights to pilot deliverables are agreed explicitly in the pilot contract. The Cauza platform and all its IP are fully owned by Insytes GmbH.
Will our data be used for other customers?
Data use, access, and any reuse must be defined in your pilot agreement. Bring your requirements to the first call so they can be resolved before any data is shared.
START WITH YOUR QUESTION