End to-End Industrial AI Engineering
From embedded firmware to cloud dashboards, we engineer the full stack. No outsourcing, no black boxes, no vendor lock-in.
import NeuralCore from 'w4/engine'
await NeuralCore.initialize({
environment: 'industrial',
precision: 0.999
})
Engineering for the
Industrial Edge
See the invisible.
See the invisible.
High speed defect detection, quality grading, and automated optical inspection systems engineered for absolute precision. We deploy advanced deep learning models directly on the edge to inspect hundreds of parts per minute.
Insights from the edge.
Real time process monitoring, predictive maintenance, and operational intelligence derived from raw industrial data. Transform your manufacturing floor into a fully transparent, data driven environment.
Flawless execution.
SCADA systems, PLC programming, and closed loop control to synchronize and automate your manufacturing lines. Reduce human error and maximize throughput with precision robotics and motion control.
Connected intelligence.
Industrial IoT sensors, robust telemetry, and custom cloud based dashboards for remote facility management. Track environmental conditions, machine health, and energy consumption securely from anywhere.
Custom hardware.
Purpose built PCBs, edge inference devices, and ruggedized industrial controllers designed for your specific environment. We build firmware and hardware from the ground up to interface with legacy and modern equipment.
Strategy before execution.
Our engineers audit your facility, model the ROI, and design a phased technology roadmap. We bridge the gap between abstract AI concepts and practical, high impact industrial applications.
Industries We Empower
Garment & Textile Manufacturing
AI powered fabric defect detection, colour consistency monitoring, and automated quality grading systems for garment manufacturers.
Palm Oil Processing Layer Detection
Harsh Environments
Passive Vision Mounts
Real time SCADA Integration
The Challenge
Eight settling tanks required a technician to manually verify the oil sludge separation layer. Temperatures exceeding 120°C and heavy steam made every conventional sensor fail, creating a massive safety hazard and slowing production.
Our Solution
We designed a passive vision intelligence system. Custom mounted cameras observe each tank externally, eliminating heat exposure. A purpose built ML model processes the feed to calculate the separation layer height in real time.
The Results
Readings are transmitted directly to the existing Allen Bradley SCADA via Modbus over IP. The facility eliminated manual verification completely and achieved zero sensor exposure.