PRECISION
SYSTEMS.
BUILT FOR
THE FACTORY FLOOR.
Three production-grade AI systems. One sees. One protects. One reads. All designed for real deployment, not demo conditions.
HyperQ AI Vision
Automated visual inspection for high-mix, high-speed manufacturing environments.
- 99.9% detection accuracy in real deployments
- 8,000+ product variations supported
- Existing camera and PLC workflow compatibility
- Handles irregular defects beyond rule-based systems
HyperQ AI Safety
Real-time safety monitoring using existing cameras and context-aware detection.
- Deploy on existing CCTV infrastructure
- PPE, fire, fall, zone, and abnormal behavior detection
- Real-time mobile and dashboard alerts
- Operational in about 1 hour in suitable environments
- Context-aware AI reduces false positives
HyperQ DocFlow
AI document processing built for APAC manufacturing and logistics.
- Process multilingual documents (CJK + Latin)
- Read handwritten annotations and lot numbers
- Field-level accuracy verification before deploy
- Recovers low-quality and thermal scans
Which System Fits Your Operation?
Detect product defects at line speed
HyperQ AI VisionProduction inspection with precision and SKU variation support
Reduce manual inspection workload
HyperQ AI VisionAutomates repetitive quality decisions at the line
Monitor PPE and unsafe behavior
HyperQ AI SafetyReal-time facility-wide risk visibility from existing cameras
Reduce blind spots between supervisors and incidents
HyperQ AI SafetyContinuous monitoring with instant alert routing
The Hypernology Advantage.
Outperforming legacy vision vendors in every deployment metric.
| Feature | Hypernology | Competitors |
|---|---|---|
| Hardware Integration | Integrates with any brand | Bundled; limited to own hardware |
| Customization | Included from initial delivery | Treated as extra charge |
| Defect Complexity | Detects unstructured / irregular defects | Limited to general patterns |
| Data Requirements | Requires ~1,000 dataset | Typically requires 10,000+ |
| Deployment Speed | 1-hour setup with existing CCTV (AI Safety) | Setup may take several days |
| Document Intelligence | Integrated (HyperQ DocFlow) | Not available / Standalone vendor |
Infrastructure
Ready.
All systems share the same brownfield-first deployment architecture.
Hardware-Agnostic
Works with existing cameras, brownfield infrastructure, and industrial control environments.
Edge-Native
Runs on edge devices with air-gapped deployment support. Sub-10ms inference at the line.
OT-Integrated
Connects to PLC, CCTV, MES, and dashboard workflows via MQTT, Modbus, and OPC-UA.
Built for Production Reality
Engineered for brownfield environments, not controlled demo conditions.
Choose the System That Solves the Bottleneck.
Tell us what is slowing production down or increasing operational risk. We will map the right deployment path from there.
Frequently Asked
Questions.
What is AI-powered visual inspection for manufacturing?
AI-powered visual inspection uses deep learning models to automatically detect defects, measure dimensions, and verify quality on production lines. Hypernology achieves 99.9% detection accuracy at micrometer-level precision, replacing manual inspection with continuous automated monitoring.
How much training data does Hypernology need to deploy?
Hypernology has reduced the cost and complexity of AI model training for manufacturing. For OCR inspection, 8,000+ product models are supported with zero configuration required. For other inspection types, approximately 1,000 samples is sufficient for initial deployment.
Does Hypernology work with existing factory hardware?
Yes. Hypernology is hardware-agnostic and integrates with existing cameras. The system connects to PLCs and existing CCTV infrastructure, with mobile app and web dashboard support. No proprietary hardware lock-in.
Can Hypernology deploy without internet or cloud access?
Yes. Hypernology supports fully air-gapped, on-premise deployment with zero cloud dependency. All AI inference runs on edge devices (NVIDIA Jetson or industrial PCs) with sub-10ms latency. Data never leaves the factory floor unless explicitly configured otherwise.
How long does it take to deploy Hypernology?
AI Safety can be operational within 1 hour in suitable environments. Pattern Inspection takes approximately 30 minutes to install plus 30 minutes of training. Vision and OCR solutions are project-dependent.
What types of defects can Hypernology detect?
Hypernology detects microscopic scratches, cracks, foreign materials, and surface defects at micrometer-level precision. The AI OCR solution handles 8,000+ product variations with automatic logic switching — no manual reconfiguration between product changes.
How does the DocFlow system handle multilingual documents?
HyperQ DocFlow natively supports mixed CJK (Chinese, Japanese, Korean) and Latin character sets. It can seamlessly extract data from documents that contain multiple languages on the same page, such as a Japanese PO with English specs.
Do we need to train the document AI from scratch?
No. HyperQ DocFlow uses foundational models optimized for enterprise documents. We typically only need 3-5 examples to map a new document template and begin processing with high accuracy.