This is to certify that the following integrated neural network system represents a genuine implementation
of advanced artificial intelligence technology, developed and trained by AutomataNexus LLC using industry-standard deep
learning techniques. This comprehensive suite of eight specialized models constitutes a hierarchical, production-ready system for Building Management
System optimization and predictive maintenance.
NEXUS BMS NEURAL NETWORK SUITE
APOLLO v1.0
Master Coordinator & Cost Predictor
20.8M parameters • 99.92% accuracy
AQUILO v2.0
Electrical Fault Detection
608K parameters • 96.7% accuracy
BOREAS v2.0
Refrigeration System Diagnostics
1.2M parameters • 91.91% accuracy
COLOSSUS v1.0
Multi-Model Integration
17.3M parameters • 100% accuracy
GAIA v1.0
Safety Validation System
2.4M parameters • 100% accuracy
NAIAD v1.0
Water System Analysis
533K parameters • 99.99% accuracy
VULCAN v1.0
Mechanical Fault Detection
476K parameters • 98.1% accuracy
ZEPHYRUS v1.0
Airflow System Optimization
845K parameters • 99.8% accuracy
Technical Specifications:
• Total Parameters: 43.5M+
• Average Accuracy: 97.8%
• Framework: PyTorch 2.x
• Deployment: Edge AI (INT8)
• Fault Coverage: 79 types
• Inference Rate: 11Hz
This integrated suite provides comprehensive building management system intelligence with real-time fault
detection, predictive maintenance scheduling, and automated optimization across all critical infrastructure systems.