EthonAI redefines productivity for batch processes
| The Problem | How Ethon solves it | The Outcome |
|---|---|---|
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Hours wasted on manual analysis of disconnected data
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Data Layer: Unifies production data for plant-wide visibility
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Real-time insights and decisions, no manual preparation
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Capacity is lost to frequent rework and off-spec batches
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Process Optimization workflow: Automated setpoint guidance tailored to materials and conditions
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Less rework, higher first-pass yield and throughput
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Lines drift from target state due to manual setpoint adjustments
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Autonomous Process Control workflow: Maintains optimal setpoints via continuous optimization
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Stable processes, reduced scrap, consistent quality
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Ramp-ups and changeovers take days of trial-and-error tuning
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Root Cause Analysis workflow: Identifies true drivers of variation and best-fit parameter windows
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Faster changeovers, higher yield, first-time-right production
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Reactive response to equipment issues or quality losses
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Early Fault Detection workflow: Anomaly detection with preventive actions
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Less downtime, fewer quality issues, and stable production
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Expertise is lost when skilled workers change roles
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Knowledge Hub: Process logic is captured and embedded
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Retained, standardized, and scalable know-how
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Proven results from the shop floor
Proof over promise. See what we’ve delivered.
Increasing first time right in chemical production through data-driven centerlining. Reduced manual batch rework by 70%, lowering unit costs and improving productivity.
Establishing a global standard for optimizing and controlling chocolate production lines. Saved millions of chocolate truffles through data-driven setpoint recommendations.
Stabilizing processed food production with data-driven centerlining and setpoint recommendations. Delivered ~$100k in cost savings per line per year by reducing material usage.
Powering visual inspection workflows across 20 factories. Delivered $10M+ in savings by replacing legacy quality systems and supporting a zero customer-complaint target.
Enabling cross-factory root cause analysis. Awarded with the 2024 Open Bosch Award for significant reductions in CO₂ emissions, scrap, and rework.
Supporting complex assembly operations amid labor shortages. Enabling (junior) engineers to deliver reliable root cause analysis across hundreds of process parameters.
Identified critical quality drivers across 3,000+ transistor manufacturing process parameters, resulting in a 51% scrap reduction. Delivered $1M+ in increased sales.
