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Six Governance Engines
The Cognitive Energy OS operates through six specialized governance engines, each responsible for a critical aspect of data center intelligence. Click any engine to explore its capabilities.
Quantitative Synthesis Engine
Predictive modeling and empirical normalization of resource and energy flows
Hierarchical Pattern Analysis System
Time-series pattern detection and anomaly identification across operational data
Adaptive Causal Inference Engine
Root cause analysis and counterfactual scenario simulation
Evidence Aggregation & Synthesis Engine
Evidence bundling and audit-ready proof synthesis for all claims
Qualitative Comparative Analysis
Benchmarking and compliance validation against industry standards
Adaptive Regulatory Compliance System
Real-time compliance enforcement and regulatory stress testing
Three-Phase Implementation
The Cognitive Energy OS follows a progressive deployment model, advancing from advisory recommendations through guardrailed automation to full autonomous operation. Select a phase to learn more.
Advisory Mode
Human-in-the-loop recommendations where all optimization suggestions require operator approval before implementation. The system provides detailed analysis and recommendations while maintaining full human oversight.
Guardrailed Autonomy
IT-side automation with hard safety limits. The system can execute pre-approved action types within defined boundaries while escalating edge cases and high-risk decisions to human operators.
Full Automation
Autonomous IT and facility controls with multi-layered rollback and compliance enforcement. The system operates independently while maintaining comprehensive audit trails and instant rollback capabilities.
100 Services Across 8 Domains
Comprehensive coverage of data center energy optimization, from visibility and attribution to sustainability compliance and organizational intelligence.
Tier-0 Cognitive Energy OS Framework
A domain-specific architecture combining RAG, fine-tuned reasoning, formal planning, constraint solvers, and external verifiers for facility energy, cooling, and AI workload orchestration.
