AUTOMATANEXUS LLC
Certificate of Authenticity
Artificial Intelligence Model Certification

This is to certify that the following neural network model represents a genuine implementation of artificial intelligence technology, developed and trained by AutomataNexus LLC using industry-standard deep learning techniques and validated for production deployment.

AQUILO
Electrical System Fault Detection
Guardian of Power Quality

Technical Specifications

Version: v2.0
Test Accuracy: 96.7%
Parameters: 607,990
Model Size: ~20MB
Architecture: Deep NN + Attention
Framework: PyTorch 2.x
Fault Types: 13 electrical
Quantization: INT8 Edge

This model has been rigorously tested and validated using comprehensive test datasets. The model demonstrates genuine artificial intelligence capabilities including:

  • Detection of 13 electrical fault types
  • ALL fault types achieve >90% accuracy
  • Perfect detection of critical faults (overcurrent, phase imbalance)
  • Real-time power quality monitoring
  • Predictive maintenance for electrical systems

AQUILO specializes in electrical system diagnostics within the Nexus BMS Neural Network Suite, providing industry-leading accuracy in power quality monitoring and fault prediction.