Neural Nexus™ - Advanced HVAC AI Diagnostic Platform
Industry-leading edge AI diagnostics running on Hailo-8 with 26 TOPS of processing power
26 TOPS Processing
Hailo-8 AI accelerator delivers unmatched real-time analysis
7 Specialized Models
Purpose-built neural networks for comprehensive HVAC diagnostics
Edge Computing
On-device inference with sub-100ms response times
Integrated AI Models
1. Anomaly Detection Network
Advanced pattern recognition for identifying unusual system behavior before failures occur
2. Predictive Maintenance Model
Forecasts component failures 30-60 days in advance using historical patterns and real-time data
3. Energy Optimization Engine
Continuously optimizes system parameters for maximum efficiency while maintaining comfort
4. Fault Classification System
Identifies and categorizes over 200 distinct HVAC fault conditions with detailed severity assessment
5. Performance Degradation Tracker
Monitors gradual system performance decline and recommends maintenance schedules
6. Compressor Health Analyzer
Specialized model for compressor diagnostics including vibration, temperature, and electrical analysis
7. Refrigerant Leak Detection
Advanced pattern recognition for early refrigerant leak detection and environmental compliance
Technical Specifications
Hardware Requirements
- Hailo-8 AI Accelerator (26 TOPS)
- 4GB+ RAM allocation
- Edge computing device (Raspberry Pi 5 or equivalent)
- Modbus/BACnet interface capability
Performance Metrics
- Sub-100ms inference time
- 99.9% uptime reliability
- Processes 10,000+ data points/second
- Less than 10W power consumption
Licensing Options
Enterprise License
Full-featured deployment with unlimited models and comprehensive support.
- All 7 AI models with continuous updates
- Priority support and training
- Custom model training available
- White-label options
OEM Partnership
Integrate Neural Nexus directly into your HVAC equipment or control systems.
- Volume licensing discounts
- Co-development opportunities
- Private labeling
- Technical integration team