Case studies
Industrial problems, solved in production
Real production deployments: field context, technical architecture, measured results. Figures come from delivered projects.
Industrial AI deployed in production
200+
AI systems live in production
21+
countries of deployment
8–14 months
average observed payback
Fixed PoC
signed KPIs, no commitment beyond
8 documented studies
Problem, architecture, results
Each case shows the technical constraints that made the problem hard, not a marketing showcase.
Safety and operations analytics on existing CCTV
Heavy-industry sites already run hundreds of cameras, but the footage is only watched after an incident. Near-misses, PPE breaches and exclusion-zone intrusions go unseen, and operational metrics are still logged by hand.
Results
A single vision layer over existing CCTV: live proximity and zone alerts for safety, automated cycle-time and stockpile tracking for operations, deployed without replacing a single camera.
AI vision pallet verification at end of line
Manual layer-by-layer counting with no second check and no image evidence. Sessions interrupted between shifts, errors discovered only after shipment.
Results
Shipping errors virtually eliminated, 100% traceability by pallet, operator and timestamp.
Fully on-prem visual inspection of wafers
Manual visual QC as the bottleneck. Repeated GPU batch attempts failing (OOM). Zero operator traceability.
Results
Inspection throughput ×2.3, batch cycle ~3.2 min (vs 7+ min), and no more GPU OOM errors.
AI stock-redistribution agent connected to the ERP
Expired product on one side, stockouts on the other. Manual planning took 2 to 5 days to reach a decision: by then the expiry window was already closed.
Results
−31% expiry write-offs, +7.3% sales in underserved territories, decisions in under an hour.
RFQ automation and document extraction into the ERP
Manual processing of requests for quotation: 7 days on average to parse specs, coordinate suppliers and produce a quote.
Results
−68% on the RFQ cycle, 83% of quotes approved with no human review.
Visual quality control in the foundry
Manual visual inspection on hot parts: inconsistent reject criteria between operators, no heatmaps and no systematic ISO reports.
Results
+38% defect-classification accuracy, automated ISO QA reports, real-time heatmaps.
Lab compliance: PDF extraction and normative thresholds
Manual parsing of lab PDFs: QC delays, inconsistent material-reject decisions between technicians.
Results
−95% manual checks, −47% lab→line lead time, systematic ASTM/EN compliance.
Predictive maintenance and energy optimization
Frequent unplanned downtime and irregular energy consumption on graphite furnaces: reactive maintenance and high costs.
Results
−51% unplanned downtime, −17% energy per ton produced.
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