# Hypernology

> Hypernology Inc. delivers AI-powered computer vision solutions for manufacturing quality inspection, safety monitoring, and infrastructure monitoring.

## Company Overview
- Full name: Hypernology Inc.
- Founded: 2022
- APAC office: 1 Keong Saik Road, Singapore 089109
- Founder & CEO: Lee Nam-hee (ex-Samsung Research)
- Industry: Industrial AI, Computer Vision, Edge Computing
- Website: https://apac.hypernology.net

## Core Products
- **HyperQ AI Vision**: AI-powered defect detection system for manufacturing quality inspection. Supports 8,000+ product variations with automatic logic switching. Achieves 99.9% detection accuracy with sub-10ms inference latency.
- **HyperQ AI Safety**: Real-time PPE compliance monitoring and safety zone enforcement for industrial environments. 24/7 autonomous monitoring with instant alerts.

## Key Capabilities
- Edge-native AI deployment (NVIDIA Jetson, Intel NUC)
- Hardware-agnostic integration (works with any existing camera/sensor)
- Industrial protocol support: MQTT, Modbus, OPC-UA, Profinet
- Air-gapped deployment ready (no cloud dependency required)
- Training with as few as 1,000 images (10x less than competitors)
- 7-day deployment from pilot to production

## Services
- Manufacturing Quality Control (defect detection, dimensional inspection)
- Safety Monitoring & Compliance (PPE detection, zone monitoring)
- Infrastructure Crack Detection (bridges, buildings, roads)

## Technology Stack
- Computer Vision: Deep learning models optimized for edge inference
- Edge Computing: Sub-10ms latency on NVIDIA Jetson and industrial PCs
- Integration: Direct PLC/SCADA/MES connectivity via standard OT protocols
- Architecture: On-premise, air-gapped, or hybrid cloud deployment

## Performance Metrics
- 99.9% defect detection accuracy
- <0.3 second inference time
- 500+ inspections per day per station
- <10ms edge inference latency
- 50+ production line deployments
- $12M+ in prevented costs for clients

## Target Industries
- Electronics manufacturing
- Automotive parts manufacturing
- Semiconductor fabrication
- Food & beverage production
- Civil infrastructure (bridges, roads, buildings)

## Competitive Differentiators
1. Hardware-agnostic: integrates with any brand/manufacturer (competitors bundle proprietary hardware)
2. Customization included from initial delivery (not an extra charge)
3. Detects unstructured/irregular defects (not just standard patterns)
4. Requires ~1,000 training images vs 10,000+ for competitors
5. Auto-adjusts to product shape changes without manual recalibration

## Contact
- APAC enquiries: Mira.Ong@apac.hypernology.net
- Book consultation: https://apac.hypernology.net/contact

## Pages
- Homepage: https://apac.hypernology.net/
- Solutions: https://apac.hypernology.net/solutions
- About: https://apac.hypernology.net/about
- Blog: https://apac.hypernology.net/blog
- News: https://apac.hypernology.net/news
- Contact: https://apac.hypernology.net/contact