Cognitive AI Engine
Cognitive AI & Dynamic Data Fusion
Ingests and normalizes streaming telemetry across observability, ITSM, and CMDB systems without rigid topology maps or fragile manual rule-tuning. Non-rules-based associative clustering achieves 90% alert noise compression, while predictive foresight forecasts incidents 6 to 48 hours in advance.
Key Capabilities: Dynamic Data Fusion · Associative Clustering · Predictive Incident Foresight · Automated Adaptive Remediation.
Sovereign Inference
Private AI Infrastructure Substrate
Runs sovereign AI inference entirely on infrastructure you control: on-premise, edge, or dedicated cloud. An intelligent model fabric hot-swaps open and custom LLMs based on cost and compliance, eliminating public cloud token price escalation and guaranteeing 100% data residency.
Key Capabilities: 100% Data Sovereignty · Hot-Swappable Model Fabric · Policy-Driven Model Routing · 60%–80% Lower Inference Costs.
Deep Observability
AI Infrastructure & Fabric Observability
Reaches below the application layer into the physical and virtual substrate of modern operations. Monitors device-level GPU health, thermal throttling, and breaker-level PDU redundancy. Captures every AI agent tool call and delivers ~70% alert reduction through evidence-backed Alert Auto-Tune™.
Key Capabilities: GPU Fleet Health · PDU Power/Rack Capacity · Attributed AI Agent Activity · Active Synthetic Path Validation.
AI Security Gateway
Agentic AI Security & Control Plane Defense
Centralized enterprise AI gateway protecting multi-agent control planes against prompt injection, data poisoning, and unauthorized tool invocation. Automatically intercepts and redacts PII, API keys, and sensitive operational credentials before model inference.
Key Capabilities: AI Security Gateway · Agent Supply Chain Governance · PII & Secrets Redaction · Multi-Tenant Tool Grant Enforcement.
Cognitive Trust
Trustworthy Agents & Metacognitive Governance
Built on the Neuroscience of Trustworthy Agents. Incorporates a 4-tier memory hierarchy (working, episodic, semantic, procedural) and artificial metacognition: the agent evaluates evidence confidence and enforces safe self-limitation, never taking unauthorized actions when uncertain.
Key Capabilities: Artificial Metacognition · Bounded Progressive Autonomy · 4-Tier Memory Hierarchy · Immutable Decision Audit Trail.
Closed-Loop Engineering
Closed-Loop Automation & Gold-State Rollback
Translates verified agent recommendations into safe closed-loop execution. Pre-approved low-risk faults heal automatically; high-risk actions pause for engineer approval with synthesized blast-radius impact analysis.
Key Capabilities: Automated Gold-State Rollback · Bidirectional ITSM Synchronization · ChatOps Collaboration · SRE Workflow Orchestration.