PRYSM
Every delay, defect, or inefficiency has a cause.
We reveal the why, so you can master the what.
Imagine
transforming endless data into a clear map of causes and effects. One that directs every decision toward real, profitable outcomes.
Cauza
Cauza is a no-code causal AI platform transforming complex data into clear, actionable causal insights. Enables explainable, faster decision-making with measurable financial impact. Focuses on transparency, trust, and enterprise readiness.
Explore Our Vision
Why PRYSM
Because better decisions shouldn’t require months of analysis or black-box algorithms.
PRYSM gives teams instant clarity on what drives performance, lets them test decisions before acting, and delivers measurable ROI within weeks.
We help companies save money, reduce waste, and unlock performance improvements backed by causal evidence, not assumptions.
Who we Help
Operations & Manufacturing Teams: reduce waste, downtime, energy use, and variabilityLogistics & Supply Chain Leaders: optimize flow, improve planning, cut delays and costIndustrial & Field Service Companies: increase throughput, reliability, and resource efficiencyConsulting Firms: scale insight work, run more client projects with higher marginsAnalytics & Data Teams: get explainable insights without building models manuallyBusiness Leaders: understand the real drivers behind performance and guide strategy with confidence
Start taking faster and better decisions now!
What is Cauza
Cauza is a no-code causal AI platform transforming complex data into clear, actionable causal insights. Enables explainable, faster decision-making with measurable financial impact. Focuses on transparency, trust, and enterprise readiness.
How Cauza Helps and Why It’s Different
Cauza reveals the real causes behind performance issues, not just where they appear. Using statistical causal models, it uncovers which factors genuinely drive defects, downtime, or energy waste, and shows you what would happen if you changed something before making costly adjustments.An industry-trained language assistant turns these insights into clear, simple explanations, so your team instantly understands what is happening, why it is happening, and which action will fix the problem. No guesswork. No trial and error.Traditional AI tools only point out correlations such as “defects rise when Machine B runs faster.” Cauza goes deeper to show whether Machine B is truly the cause or if a hidden factor, like a clogged filter, is the real driver. That is the difference between reacting to symptoms and solving the actual root cause.Cauza connects to your existing data systems and starts delivering value in days. The result is confident decisions, targeted fixes, and problems solved right the first time.
25,000 tons less CO₂ per Year
How Causal AI Uncovered a 10% CO₂ Reduction Lever in a National Vehicle FleetUsing Cauza’s ontology-guided causal modeling, we analyzed 463,000 vehicle records to identify the true drivers of CO₂ emissions.
Unlike correlation-based dashboards, our model isolated the causal impact of engine characteristics on emissions.Key InsightImproving engine efficiency (specific power at fixed displacement) leads to a causal reduction of ~10% in CO₂ emissions.Impact at Fleet Scale≈ 25,000 tons less CO₂ per year≈ €1.2 million in annual fuel savingsClear, explainable levers that policymakers and OEMs can act on immediatelyCauza enabled decision-makers to quantify the real-world impact of engineering improvements before implementing them, creating measurable environmental and financial benefits.
Reduction in Energy Use by 4.7 kWh per Unit
Using Causal Discovery to Reduce Energy Use by up to 4.7 kWh per UnitA German energy-intensive SME used Cauza’s causal-discovery and inference framework (DirectLiNGAM, RESIT, DoWhy) to understand the true drivers of process duration and energy consumption.Key FindingsThe causal model revealed an actionable relationship previously hidden in traditional analytics:Increasing product weight can causally reduce energy consumption by up to 4.7 kWh per unit.Business ImpactOptimization opportunities that were not visible through correlation-based toolsReduced energy cost and environmental footprintClear guidance for process adjustments backed by explainable causal evidenceThis project demonstrated how Cauza turns raw operational data into trustworthy, money-saving insights, helping SMEs make smarter decisions without trial-and-error.
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