Live Builds
What we've built for Manufacturing
Every case below is live in production. IP fully transferred to the client on delivery. We don't retain access or use your data for model training.
Computer Vision2.1
Visual Assembly Intelligence — Training Time from 14 Weeks to 3
A manufacturer running complex multi-step assemblies was struggling with a training crisis. New workers took 14 weeks to reach production speed. Errors were only caught at end-of-line QC. We deployed an overhead computer vision system at each workstation that tracks progress in real time, detects deviations from the correct sequence, provides visual step-by-step guidance, and alerts supervisors when something goes wrong. The system learns from every shift.
Outcome: Training time: 14 weeks → 3. Assembly errors down 65%. Workers reaching production speed in their first month.
Computer visionReal-time guidanceStep detectionSupervisor alerts
Quality AI2.2
AI Defect Detection Replacing a Manual QC Line
A mid-size manufacturer was running a fully manual inspection line — slow, expensive, inconsistent. Experienced QC inspectors were retiring faster than they could be replaced. We replaced the line with a computer vision layer trained on thousands of defect images across every product variant. Every unit inspected in real time, classified by defect type and severity, logged for full compliance traceability.
Outcome: Detection accuracy: 78% → 97%. Inspection cost down 55%. Compliance documentation met automatically for the first time.
55%
Inspection cost reduction
100%
Automated traceability
Image classificationDefect scoringBatch trackingCompliance logs
Predictive Maintenance2.3
Predictive Maintenance & OEE Intelligence Across 6 Lines
A manufacturer with 6 production lines had no real-time visibility and entirely reactive maintenance. Machines broke down at the worst possible moment. We built a sensor-connected AI layer that monitors machine utilisation, detects anomalies up to 72 hours before a failure, and generates daily OEE reports with specific per-manager recommendations.
Outcome: OEE improved 28% in 90 days. Unplanned downtime down 60%. Maintenance became a scheduled activity, not a crisis.
28%
OEE improvement in 90 days
60%
Less unplanned downtime
72hrs
Failure prediction window
IoT sensorsAnomaly detectionOEE analyticsML forecasting
Lean ERP2.4
AI-Assisted Production Planning & Inventory Intelligence
A manufacturer running on gut-feel inventory decisions was facing stockouts on critical components and overstock on slow-movers — simultaneously. We built an AI planning layer on top of their existing ERP that ingests order history, supplier lead times, and production schedules to generate dynamic reorder signals and flag bottlenecks before they hit the floor.
Outcome: Stockout incidents reduced 74%. Carrying cost down 31%. Production planning meetings cut from 3 hours to 20 minutes.
74%
Fewer stockout incidents
31%
Carrying cost reduction
20min
Planning cycle (from 3hrs)
ERP integrationDemand forecastingSupplier intelligenceDynamic reorder