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.

APOLLO
Predictive Optimization Model
Master Coordinator

Technical Specifications

Version: v1.0
Test Accuracy: 99.92%
Parameters: 20,849,174
Model Size: ~100MB
Architecture: Multi-task LSTM
Framework: PyTorch 2.x
Training Time: 72 hours
Quantization: INT8 Edge

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

  • Multi-task learning with 9 output heads
  • Cost prediction with $33.08 MAE accuracy
  • Maintenance prioritization across 5 levels
  • Optimization actions across 7 categories
  • Real-time inference at 11Hz on edge hardware

APOLLO serves as the master coordinator in the Nexus BMS Neural Network Suite, orchestrating decisions across all subsystems with exceptional accuracy and reliability.