VISION INTELLIGENCE

Eyes on your operations.
24 hours a day.

Computer vision systems that detect defects, inspect processes, analyse video, and surface anomalies — deployed on your facility's hardware.

Start your POC → See case studies
person · 0.96
vehicle · 0.91
helmet
DETECTED · 3
GPU · 34 FPS

The Problem

Human inspection
doesn't scale.

A trained quality inspector can examine a few hundred components per shift. They get fatigued. They miss things. The cost of a defect that reaches a customer dwarfs the entire inspection budget.

Off-the-shelf vision tools are trained on generic datasets. They don't know what a defect looks like on your specific product, your material, under your lighting conditions.

Scale
Manual inspection creates production bottlenecks at exactly the point where speed matters most.
Consistency
Day shift vs night shift, Monday vs Friday — your quality standard shouldn't depend on who's on the floor.
Traceability
When a batch fails, can you trace exactly which items were inspected, with what result? With AI, every inspection is logged.

What We Build

Six capabilities.
Trained on your product.

CAPABILITY 01
Defect Detection
Trained on your defect taxonomy. Surface cracks, welds, coating failures — at production speed.
CAPABILITY 02
OCR & Document Scanning
Extract structured data from handwritten forms, invoices, gate passes with state-of-the-art accuracy.
CAPABILITY 03
Industrial Video Analytics
Continuous monitoring of production lines, safety zones, facility access. Anomalies trigger alerts.
CAPABILITY 04
Medical Image Analysis
Diagnostic support for radiology, pathology with AI flagging and human-in-the-loop validation.
CAPABILITY 05
Product & Produce Grading
Automated visual grading for agriculture, pharma, FMCG — consistent, fast, audit-logged.
CAPABILITY 06
CCTV & Surveillance
Transform passive CCTV into active intelligence — crowd analysis, perimeter breach, object tracking.

Under the Hood

From camera
to confidence score.

STEP 01
Camera & Data Setup
We work with your existing cameras or specify new hardware. No vendor lock-in.
STEP 02
Model Training
Trained on your defect taxonomy using YOLOv8, Faster R-CNN, or U-Net depending on task.
STEP 03
Edge Deployment
Runs on-premise — GPU inference on your hardware. Detection in milliseconds at point of inspection.
STEP 04
HITL & Learning
Low-confidence detections flagged for human review. Each decision feeds back. Accuracy improves continuously.

Use Cases

Deployed across sectors.
Delivering daily.

Energy & Oil and Gas
Pipeline Weld Inspection
AI analysis of radiographic images. Compliant with API 1104 and ASME. Radiographer validates flagged cases.
10× throughputOutcome
Manufacturing
Surface Defect Detection
Real-time inspection of composite panels. Custom model rejects non-conforming items before packaging.
<0.1s per inspectionOutcome
Healthcare
Diagnostic Image Flagging
AI-assisted review of radiology scans. Flags anomalies, prioritises urgent cases, full audit log.
40% faster triageOutcome
10×
Inspection throughput vs manual
<100ms
Inference latency at the edge
99%+
Defect recall on trained categories

See what your operations are missing.

POC in 7 days on your hardware, your product.

Book a Vision AI POC →