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Case Studies

Real projects. Real losses. Measured results.

How we applied analytics, optimization, and monitoring to actual production lines across Availability, Performance, and Quality, with the numbers attached.

Electronics assembly line representing maintenance prioritization by production capacity impact.
AvailabilityManufacturing

Prioritized Maintenance Platform: $2.4M Annual Value

A maintenance prioritization system that used simulation to rank interventions by workshop-level capacity impact and quantify annual value.

Annual Value
$2.4M
Payback Period
30-60d
Recovered/72h
5.3h
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Semiconductor fab transport system representing integrated operations planning and optimization.
PerformanceSupply Chain

Integrated Operations Planning & Optimization

A constraint optimization framework for production and resource planning, designed to resolve conflicts across maintenance, production, and quality activities.

Solve Time
<1 sec
Activities Planned
400+
Dynamic Opt.
Level 4
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Technical analytics image representing automated sensor trace review and outlier detection.
QualityManufacturing

Automated Data Review Platform: 10% Faster Analysis

An automated quality data review platform that clustered sensor traces and surfaced outliers so engineers could focus on abnormal patterns first.

Faster Analysis
10%
Sensors/Batch
40k+
Outlier Detection
Auto
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Automated smart factory line representing manufacturing performance monitoring.
AvailabilityManufacturing

Manufacturing Performance Monitoring Suite

A monitoring suite that consolidated sensor, alarm, and production data into dashboards for daily manufacturing performance reviews.

Sensors Monitored
200+
Auto-Updates
Daily
Visibility
100%
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Semiconductor wafer inspection scene representing defect classification and quality evaluation.
QualitySemiconductor

Defect Classification Evaluation Framework

A production-aligned evaluation framework that scored defect classifiers by operational risk instead of only standard ML metrics.

Scoring
Risk-Aware
Weighted Model
Cost
Ready
Fab
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Project fit

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Start with the loss on the floor, the data you already have, and the value question leadership needs answered.