System Architecture

DUAL-PLANE ARCHITECTURE DOMAIN APPS & AI AGENTS CONTROL PLANE SEMANTIC ENGINE ontology · entity resolution POLICY ENGINE rules · thresholds · actions EOM operational model AI LIFECYCLE train · deploy ECOSYSTEM partners · APIs STATE SYNC BRIDGE DATA PLANE EDGE TIER sensors · edge inference INGESTION MESH collection · routing STREAM PROCESSING real-time inference · event detection ⚡ PHYSICAL WORLD ⚡ PRODUCTION CYCLE ENERGY + DATA raw materials PRE-TRAIN foundation models POST-TRAIN RLHF · fine-tune · align INFERENCE produce intelligence FEEDBACK continuous learning TOKENS intelligence + productivity SEMANTIC ENGINE ontology · entities DOMAIN APPS AI AGENTS OPERATIONS

End-to-End AI Infrastructure

Compute & Networking

GPU clusters, high-speed interconnects, and DPU-accelerated storage — the physical foundation for AI at scale.

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AI Platform Software

Training frameworks, inference optimization, and model serving — NeMo, TensorRT, NIM, and Dynamo working in concert.

Semantic Engine

Domain ontologies and entity resolution within the Control Plane — transforming raw AI output into structured, actionable domain knowledge.

AI Agents & Ecosystem

AI agents as the core model for domain applications — autonomous units of intelligence built on the Control Plane and extended through the Ecosystem Gateway.

See How CogMesh Works Under the Hood

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