Ethon’s AI Platform understands and explains production deviations in real-time, guiding teams to optimize cost, quality, and speed. It finds root causes, optimizes processes, and automates inspection by building connected factory context, applying Causal AI, and providing role-specific guidance.
Customers derive value of up to...
80% scrap reduction,
25% higher operator productivity,
$20M+ factory cost savings,
<3-month ROI across sites
Automatically find the “why” behind every “what”: Identify & explain they underlying causes of production issues with workflows for automated root cause analysis and production traceability.
Identify and eliminate hidden waste: Deliver step-change productivity across your lines by identifying hidden inefficiencies and computing optimal setpoints based on cause-effect relationships.
Run every process like your best operator does: Orchestrate production lines with live dashboards, rule-based monitoring, early fault detection, and autonomous process control.
Automatically inspect products, surfaces and assemblies: Detect subtle surface defects, complex assembly errors, and irregularities in product quality using any industrial camera.
At Siemens Rastatt, EthonAI’s Inspector delivered 100% defect detection across 150,000 inspections and 200 product variants—setting up new products in minutes, not days
Reduce waste and ensure consistent quality in confectionery, CPG, dairy, edible oils, soft drinks, breweries, sugar, and alternative proteins by using Causal AI and computer vision to identify root causes, optimize processes, and scale improvements.
Boost yield and reduce rework in consumer electronics manufacturing by combining Causal AI and hardware-agnostic visual inspection to detect defects, optimize process parameters, and enable rapid adaptation to new product variants.
Drive chemical manufacturing efficiency by integrating disparate data sources and Causal AI to centerline viscosity. Detect hidden process interactions, optimize batch setpoints, and reduce manual rework by 70%, resulting in higher first-pass yield and significant unit cost savings.
Minimize scrap and rework in metal production by empowering engineers with one-click root cause analysis. Use Causal AI to bridge domain expertise with upstream process data, reducing out-of-spec production by 70% and unlocking €1M+ in savings while shielding operations from labor shortages.