Trusted by researchers, industry partners, and public innovation programs
Industrial data tells you what is happening.
But not why.
Dashboards, BI tools, and predictive models show correlations, leaving teams stuck with guesswork, trial-and-error, or costly consultants.
Without causality:
Root causes stay hidden
Problems recur because you're treating symptoms, not sources.
Fixes don't scale
Trial-and-error solutions work once, but fail to replicate.
Decisions remain risky
Without knowing why, every change is a gamble.
Our Solution
Cauza: the Causal AI Platform
Cauza turns industrial data into clear cause-and-effect insights.
True Root Causes
Finds the actual causal factors, not just correlations.
Plain Language
Explains results clearly so anyone can understand.
What-If Simulations
Test interventions virtually before acting in reality.
No Code Required
Built for engineers, managers, and decision-makers.
Why Causal AI
(Not Correlation)
Cauza answers questions like:
Scientific Foundation
Built on peer-reviewed causal AI research, not hype.
PhD-Origin Research
Algorithms originating from doctoral research in causal discovery.
Published Science
Multiple scientific publications in energy, logistics, and manufacturing.
Transparent AI
Auditable, EU AI Act-aligned methodology you can trust.
INSYTES bridges academic rigor with industrial practicality.
Who It's For
Designed for teams that need trustworthy decisions, not just charts.