Automation for UK Manufacturing SMEs
Manufacturing data lives in 12 places: the SCADA system, the ERP, the QC spreadsheets, the supplier emails, the time-and-attendance system. We build the Python integrations and AI vision systems that pull it together — so your management team makes decisions on real-time data, not Friday-afternoon spreadsheet hunts.
The repeated pain points
Data trapped in silos
SCADA, ERP, MES, spreadsheets, paper — production data lives everywhere. Integrating it manually never gets done.
QC inspection bottleneck
Manual visual QC is slow, inconsistent and expensive. Computer vision changes the economics.
Supplier data integration
Every supplier sends data in a different format. Python pipelines normalise it into your ERP.
No predictive view
Reactive maintenance is expensive. Anomaly detection on machine telemetry buys you weeks of warning.
What we typically build for manufacturing
Production data lake + dashboards
Pull SCADA + ERP + spreadsheets + paper-form scans into a unified data layer. Daily OEE / scrap / throughput dashboards for management.
Computer vision QC
Custom-trained vision models for defect detection on your specific products. Runs on commodity hardware, integrates into your line.
Supplier data normalisation
Python pipelines that ingest whatever your suppliers send (EDI / CSV / email PDF / portal) into a clean format ready for your ERP.
Predictive maintenance alerts
ML on machine telemetry that surfaces early warning signals — temperature drift, vibration anomalies, cycle-time creep.
Talk through your highest-cost workflow
30 minutes, no commitment. We'll tell you whether automation will pay back for the specific process you have in mind — honestly.
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