AI for Manufacturing
That Runs on the Factory Floor
Manufacturing AI must work in harsh conditions — noisy sensor data, GPU-constrained edge hardware, and zero tolerance for false positives that shut down production lines. We build industrial AI systems that survive contact with the factory floor — predictive maintenance, visual quality control, and process optimisation that runs at the edge.
Manufacturing AI Capabilities, End to End
End-to-end capability — from strategy and build to integration, monitoring, and ongoing support.
Predictive Maintenance
LSTM and anomaly detection models on IoT sensor data — predicting equipment failure 3–6 weeks in advance, reducing unplanned downtime by 30–40%.
Visual Quality Control
Computer vision systems for inline defect detection — classifying defect types, measuring dimensions, and inspecting 100% of production at line speed.
Process & Yield Optimisation
ML models analysing process parameters, identifying root causes of yield loss, and recommending parameter adjustments to maximise throughput and quality.
Supply Chain & Demand Forecasting
Demand and materials forecasting integrated with ERP — reducing raw material overstock, minimising stockouts, and optimising procurement lead times.
Energy Consumption AI
AI models predicting and optimising energy consumption — identifying inefficiency patterns, scheduling high-energy operations off-peak, reducing energy costs 10–20%.
Edge AI Deployment
AI models optimised and deployed on NVIDIA Jetson, Raspberry Pi, and industrial edge hardware — operating at line speed with 60–100ms inference latency.
Our Engagement Process
A disciplined, outcome-focused approach from first call to go-live.
- 1
Plant Assessment & Data Audit
Assess IoT sensor coverage, historian data quality, and identify the highest-value AI opportunities across your production lines.
- 2
Data Pipeline & Sensor Integration
Build data collection and preprocessing pipelines from PLCs, SCADA, and historian systems into the AI training environment.
- 3
Model Development & Validation
Train and validate AI models with production engineers — validating on real plant data with false-positive rate requirements defined upfront.
- 4
Edge Optimisation & Deployment
Quantise and optimise models for edge hardware, validate inference latency, and deploy to production line hardware.
- 5
Integration & Monitoring
Integrate with MES, SCADA, and ERP systems — and instrument with real-time performance monitoring and maintenance workflow triggers.
Tools & Frameworks We Master
A production-tested, vendor-agnostic stack built for enterprise security and compliance requirements.
Time-Series & ML
Computer Vision
Edge Hardware
Industrial Integration
Use Cases by Industry
Production AI systems we have built across regulated, data-heavy industries.
Weld Quality Inspection
CNN inspecting weld quality on automotive body panels — 99.3% defect detection rate, 40ms edge inference on Jetson Orin, zero production line slowdown.
PCB Defect Detection
YOLOv9 detecting 18 defect types on PCB production lines — 99.1% precision, deployed across 12 factories, 60% reduction in inspection labour.
Predictive Maintenance for CNC
LSTM anomaly detection on vibration and temperature sensors — 3-week advance failure prediction, 40% reduction in unplanned downtime for 80 CNC machines.
Tablet Quality Vision System
Computer vision inspecting 100% of tablet production for size, shape, and colour deviations — FDA-validated, 99.7% good unit pass rate, GMP compliant.
Yield Optimisation AI
ML model correlating 200+ process parameters with yield outcomes — identified 3 root causes of yield loss, 8.2% improvement in production efficiency.
Energy Optimisation AI
AI scheduling high-energy manufacturing processes off-peak — 14% reduction in energy costs while maintaining production output targets.
What Teams Say After Shipping with Us
Real results from teams who needed AI to work on the factory floor, not just in a demo.
AndolaSoft has been a valued partner providing excellent customer service. Issues with clients or troubleshooting are handled in a timely manner and positive resolution is always the outcome.
I got a recommendation on AndolaSoft. They are more than half the cost, they have a can-do attitude, and they are responsive, timely, and easy to work with.
Andolasoft team is very hardworking, dedicated and professional that follows through with their goals. The technical leadership is also a superior value to any other developers.
Frequently Asked Questions
Manufacturing AI uses vibration sensors, temperature sensors, current and power meters, acoustic sensors, pressure gauges, vision cameras, and PLCs/SCADA historian data. We build data pipelines that aggregate multi-modal sensor data into a unified training and inference environment.
Ready to Deploy AI on Your Factory Floor?
Tell us your production challenges — quality, downtime, yield, or energy. We will design an industrial AI system that works in your environment.