Intelligence on the factory floor.
Camera-based vision AI for defects and safety. Predictive maintenance for machines. Intelligent inventory and layout optimization. Production data finally working for you.
Manufacturing data exists. Almost nobody uses it.
The status quo
- Defects caught only after they leave the dock
- Machines fail without warning — unplanned downtime
- Warehouse pick errors compound shipping costs
- Production data sits in PLCs, unused
The new normal
- Vision AI flags 99% of defects in real time
- Predictive maintenance prevents 70%+ unplanned stops
- AI-guided slotting cuts pick errors by 73%
- Production data drives weekly improvements
Six industrial AI capabilities.
Vision Quality Control
Camera-based defect detection on production lines. Models trained on your defect taxonomy.
Predictive Maintenance
Sensor + log analysis to predict machine failure 7–30 days in advance.
Inventory Intelligence
Slotting, replenishment, stockout prediction — all data-driven.
Layout Optimization
Warehouse layout reorganized by AI based on actual pick patterns.
Throughput Analytics
OEE, bottleneck identification, line balancing recommendations.
Safety Monitoring
Vision AI detects PPE compliance, unsafe behaviour, restricted zone entry.
From sensor to decision, in milliseconds.
Sense
Cameras, PLCs, IoT sensors stream production data 24/7.
Process at edge
Edge AI handles latency-critical decisions in milliseconds.
Learn in cloud
Aggregate patterns trained centrally, pushed back to the edge.
Act
Stop the line, flag the operator, schedule preventive work.
Six industrial workflows.
Hover (or tap) any card.
Defect Detection
Hover →Camera-based real-time QA
- 01Trains on your defect taxonomy
- 02Inspects every unit on the line
- 03Diverts defects, logs evidence
Predictive Maintenance
Hover →Fix it before it breaks
- 01Reads vibration, temp, current signatures
- 02Predicts failure 7–30 days ahead
- 03Schedules work during planned downtime
Slot Optimization
Hover →Right SKU, right shelf
- 01Analyzes pick frequency + co-purchase
- 02Recommends slot reorganization
- 03Updates WMS pick paths automatically
Picker Assist
Hover →Verify every pick visually
- 01Camera at picker station verifies SKU
- 02Wrong pick → instant alert
- 03Right pick → next item suggested
Yield Improvement
Hover →Find the bottleneck, fix it
- 01Tracks cycle time at each station
- 02Identifies recurring bottlenecks
- 03Recommends line rebalancing
Safety Monitoring
Hover →PPE + zone compliance
- 01Cameras detect PPE compliance
- 02Flags restricted-zone entries
- 03Logs incidents for safety audit
Industrial AI for operations-heavy industries.
Five common questions.
Often no — we work with existing IP cameras, PLCs, and sensors. Where new hardware is needed, we recommend industrial-grade kit (Hikvision, Axis, etc.) and handle installation.
Yes — most defect-detection and safety models run on edge devices (NVIDIA Jetson, Intel NUC) with millisecond latency. No internet required for inference.
For vision QA: 200–500 labeled examples per defect class is usually enough. We use augmentation + synthetic data to bootstrap when real defects are rare.
Yes. We integrate with SAP, Oracle, IFS, and most MES platforms via OPC-UA, MQTT, REST APIs, or direct database. Bidirectional data sync.
For defect detection: payback within 3–6 months from reduced rework + customer returns. Predictive maintenance: 6–12 months from avoided unplanned downtime.
Turn your production data into operational intelligence.
A site audit + ROI model. We tell you what's worth automating first.