State-of-the-Art Deep Learning
N-HiTS and transformer-based forecasters (including TFT) capture complex patterns and long-term dependencies for load, generation, and anomaly forecasting.
AI Architecture
Navigator's AI stack is engineered for the extreme demands of the global energy grid, blending real-time data ingestion with physics-informed intelligence to drive mission-critical decisions.
Physics-Informed Neural Networks (PINNs)
Models that embed thermodynamics, fluid dynamics, and asset constraints to stay accurate and robust even in data-scarce or rapidly changing conditions.
High-Performance LLM
On-prem, auditable language models that keep data inside the local network while providing deterministic, traceable decision support for operators.
Use Cases
Navigator™ delivers precision-driven intelligence for high-stakes power infrastructure, ensuring stability and efficiency in the AI era.
Asset Monitoring
Real-Time Visibility
Delivers continuous real-time visibility into the true operating state, performance, and constraints of assets, enabling operators to act with confidence.
Anomaly detection
Fault Prediction & Risk Mitigation
Predicts equipment faults and emerging failure modes early, quantify operational and financial risk, and prioritize interventions before outages or damage occur.
Asset Efficiency
Power Load Optimization
Optimizes electrical and thermal loads across generation, storage, and consumption assets to reduce fuel and energy costs, improve reliability and efficiency.
Strategic Planning
Data Center Design Simulation
Simulates and validates data center architectures under real operating scenarios to de-risk design decisions before capital is committed.