Predictive maintenance
30-50% ↓
unplanned downtime
Sensor data + maintenance logs fed into anomaly-detection models. The system predicts failures days before they happen and generates work orders with recommended parts and procedures.
Manufacturing
AI for manufacturers who build real things.
AISD builds AI for manufacturing floors: predictive maintenance, vision-based quality inspection, production scheduling, demand forecasting, and document processing. Edge deployment, air-gapped environments, legacy system integration.
6 proven use cases · Edge + on-prem · ISO-ready audit trails
Use cases
Six places AI earns its keep on the floor.
Quality inspection agents
95%+
defect detection rate
Vision models inspect parts on the line in real time. Catches surface defects, dimensional drift, and assembly errors that human inspectors miss at speed. Logs every decision for traceability.
Production scheduling
15-25%
throughput improvement
AI optimizes job sequencing across machines, factoring in changeover times, material availability, and priority orders. Rebalances in real time when disruptions hit.
Supply chain demand forecasting
20-40% ↓
forecast error
Combines historical sales, lead times, supplier reliability, and market signals into demand forecasts that update daily. Reduces both stockouts and excess inventory.
Document processing
60-80%
manual entry eliminated
Purchase orders, invoices, certificates of conformance, and shipping docs extracted into structured fields. Validates against ERP records and flags mismatches automatically.
Energy optimization
10-20%
energy cost reduction
Monitor and optimize energy consumption across HVAC, compressed air, and heavy equipment. AI adjusts setpoints based on production schedule, weather, and utility rate windows.
Deployment & integration
Built for the constraints manufacturing actually has.
Air gaps, legacy PLCs, edge hardware, and audit requirements that generic AI vendors ignore. We build for the real production environment.
Air-gapped and on-prem deployment
Many manufacturing environments have no internet access on the shop floor. We deploy models on local infrastructure with no data leaving the facility.
Real-time inference at the edge
Vision and sensor models run at line speed. Sub-100ms inference on edge hardware, not cloud round-trips that introduce latency and network dependency.
Integration with legacy systems
PLCs, SCADA, MES, and 20-year-old ERP systems. We build adapters and middleware that connect AI to the systems you already run, without rip-and-replace.
Audit trails and traceability
Every AI decision is logged with inputs, outputs, and confidence scores. Exportable for ISO 9001, IATF 16949, and customer audit requirements.
Featured case study · Supply chain
Supply chain agent saved $340K/year in procurement waste.
An n8n-powered AI workflow automated vendor quote comparison, PO generation, and delivery tracking across 200+ suppliers.
Read the full case study →Outcome
$340K
annual procurement savings
Services for manufacturing
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