Intelligence Engineering
Sovereign Agent Architectures, Enterprise Infrastructure & Autonomous Workflows
End-to-end consulting for sovereign enterprise AI systems. From private model serving and hybrid knowledge retrieval to standardized tool protocols and stateful multi-agent orchestration.
Scientific Rigor Meets Sovereign AI Systems Engineering
As a Full Professor for Industrial Informatics and Software Engineering with an active track record in building mission-critical platforms, I provide independent, scientifically grounded consulting on enterprise artificial intelligence architectures and autonomous agent systems.
Navigating the modern AI landscape requires moving beyond commercial API wrappers toward dependable, sovereign, and value-generating systems. My Intelligence Engineering consulting practice bridges executive strategy, systems architecture, and operational software engineering across five composable modules:
- Model Serving: Designing and deploying on-premise and sovereign cloud inference clusters with vLLM, TensorRT-LLM, LiteLLM Proxy API gateways, and Keycloak SSO/RBAC.
- Knowledge Retrieval: Architecting hallucination-resistant retrieval systems combining dense vector search (Qdrant), property knowledge graphs (Neo4j GraphRAG), and continuous agent memory (Mem0).
- Tool Integration: Connecting autonomous agent runtimes (Nous Hermes) to enterprise databases, ERPs, and APIs through standardized Model Context Protocol (MCP) servers and deterministic schema validation.
- Agentic Orchestration: Engineering stateful, cyclic multi-agent decision logic with LangGraph, featuring dynamic supervisor-worker delegation, consensus arbitration, and fault-tolerant checkpointing.
- System Observability: Building ergonomic human-in-the-loop steering interfaces with Generative UI widgets alongside real-time distributed tracing, token budgeting, and automated regression evaluation harnesses.
📦Available Service Modules
Each service module represents a concrete building block that can be booked individually or combined into a comprehensive custom package.
Model Serving
High-Throughput Private Inference, API Gateways & Security
Designing and deploying enterprise-grade sovereign AI inference clusters powered by vLLM, unified LiteLLM Proxy routing, spending controls, and Keycloak SSO/RBAC.
Knowledge Retrieval
Dense Vector Search, Neo4j Knowledge Graphs & Memory
Engineering hallucination-resistant retrieval architectures combining dense semantic search (Qdrant), property knowledge graphs (Neo4j GraphRAG), and continuous agent memory (Mem0).
Tool Integration
Model Context Protocol (MCP), WikiSkills & Enterprise APIs
Connecting autonomous agent runtimes (Nous Hermes) to enterprise databases, ERPs, and cloud APIs through standardized Model Context Protocol (MCP) servers and deterministic schema validation.
Agentic Orchestration
Cyclic State Graphs, Dynamic Delegation & Checkpoints
Architecting multi-agent collaboration networks as stateful, cyclic graphs using LangGraph, featuring dynamic supervisor-worker delegation, consensus arbitration, and persistent pause/resume states.
System Observability
Generative UI Steering, Real-Time Telemetry & Guardrails
Engineering ergonomic front-end steering interfaces with dynamic Generative UI widgets, explicit human-in-the-loop approval gates, distributed tracing, token accounting, and automated regression guardrails.
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Contact & Booking Inquiry
Send an email request to
georg.hackenberg@fh-wels.at
Typically responding within 2 business days.
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