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We don't Just See the Problem, We Understand It. A no-code Causal AI platform for manufacturers, identifying root causes of production losses and simulating the outcome of operational decisions

PRYSM operates in the industrial manufacturing sector, addressing production inefficiencies. The company has developed Cauza, a no-code Causal AI platform designed for manufacturers seeking to understand the root causes of production problems without requiring an in-house data science team. The platform connects to a factory's existing data systems and processes raw data to provide actionable insights. Its core technology, Causal AI, moves beyond simple correlation to identify the specific factors causing issues on the factory floor. This enables clients to simulate the potential outcomes of operational changes—such as adjusting machine settings, switching materials, or running extra shifts—before implementation. Cauza integrates a built-in, industry-trained language assistant that translates complex findings into plain language, facilitating comprehension and action among production teams. The business model appears to be B2B, likely a SaaS subscription, targeting manufacturing companies. It generates revenue by selling access to its Cauza platform, which promises to deliver value within days by helping clients reduce production losses and improve performance based on data-driven, cause-and-effect analysis rather than guesswork. Keywords: Causal AI, manufacturing, no-code platform, production optimization, root cause analysis, data analytics, industrial performance, decision simulation, machine learning, factory data — this profile has been compiled from public sources. The founders haven't yet claimed it.