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PRECISION
SYSTEMS.
BUILT FOR
THE FACTORY FLOOR.

Two production-grade AI systems. One built for quality. One built for safety. Both designed for real deployment, not demo conditions.

Product Systems
For Quality Inspection

HyperQ AI Vision

99.9% Accuracy

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
For Workplace Safety

HyperQ AI Safety

~1 Hour Deploy

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
Selection Guide

Which System Fits Your Operation?

Detect product defects at line speed

HyperQ AI Vision

Production inspection with precision and SKU variation support

Reduce manual inspection workload

HyperQ AI Vision

Automates repetitive quality decisions at the line

Monitor PPE and unsafe behavior

HyperQ AI Safety

Real-time facility-wide risk visibility from existing cameras

Reduce blind spots between supervisors and incidents

HyperQ AI Safety

Continuous monitoring with instant alert routing

Competitive Position

The Hypernology Advantage.

Outperforming legacy vision vendors in every deployment metric.

FeatureHypernologyCompetitors
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
Shared Platform

Infrastructure
Ready.

Both systems share the same brownfield-first deployment architecture.

01

Hardware-Agnostic

Works with existing cameras, brownfield infrastructure, and industrial control environments.

02

Edge-Native

Runs on edge devices with air-gapped deployment support. Sub-10ms inference at the line.

03

OT-Integrated

Connects to PLC, CCTV, MES, and dashboard workflows via MQTT, Modbus, and OPC-UA.

04

Built for Production Reality

Engineered for brownfield environments, not controlled demo conditions.

Next Step

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.

Book Free Consultation
No lock-inPilot-firstEdge-deployed
Knowledge Base

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.