Who regulates complex AI systems when they make autonomous decisions?
AiGC – Ruler of intelligent Regulators
AiGC is an executive meta-platform within agent-based AI architectures—the “ruler of rulers.” It monitors all agent actions in real time, evaluates behavior against defined policies, and actively intervenes when necessary by adjusting, stopping, or replacing.
AIGC is driving a paradigm shift: from formal governance to actively enforced control.
Controllable AI starts with CCE-System
CCE is the cybernetic control and monitoring system behind AiGC: a framework that uses feedback and control loops to monitor, control, and ensure compliance of autonomous AI agents in real time.
Unlike traditional approaches, which merely define rules or check compliance after the fact, CCE actively intervenes at runtime, dynamically controls agents, and stabilizes the overall system—thereby making autonomous AI truly manageable, scalable, and auditable.
Controllable AI starts with CCE-System
CCE is the cybernetic control and monitoring system behind AiGC: a framework that uses feedback and control loops to monitor, control, and ensure compliance of autonomous AI agents in real time.
Unlike traditional approaches, which merely define rules or check compliance after the fact, CCE actively intervenes at runtime, dynamically controls agents, and stabilizes the overall system—thereby making autonomous AI truly manageable, scalable, and auditable.
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Our Solution
Controllability of Multi-Agent AI Systems
AiGC is the only solution that makes multi-agent systems truly controllable and thus scalable.
From Monitoring to Authoritative Intervention
Instead of merely observing, AiGC actively intervenes as anauthority in ongoing agent decisions (stopping, adjusting, replacing).
System-Level vs. Model-Level
AiGC controls not only individual AI outputs, but the entire interplay of agents and decisions.
Built for Regulation and Risk Mitigation
AiGC ensures compliance with the EU AI Act and verifiability. Foundation for certifications. Mitigation of liability risks.
Fulfilling requirements throughout the entire lifecycle
Our Product targets stakeholders throughout
the entire lifecycle (manufacturers, certifiers, users)
Engineered for end-to-end Lifecycle Management
The key macro trend is the fundamental shift from isolated AI models toward fully controllable, cybernetic system landscapes in which AI no longer merely operates but is embedded within complex governance and control structures.
AiGC addresses the entire lifecycle of AI-based systems and connects all key stakeholders: from development and manufacturing through conformity assessment and certification to secure, controlled operation in production environments (runtime).
Integration of the EU AI-Act
AiGC fulfills the requirements of the EU AI Act throughout the entire lifecycle—from development and manufacturing through conformity assessment and certification to regulated operation in use.
Key requirements such as risk management (Art. 9), data governance (Art. 10), continuous monitoring (Art. 14), and the robustness and reliability of systems (Art. 15) are consistently taken into account and implemented.
Integration of the EU AI-Act
AiGC fulfills the requirements of the EU AI Act throughout the entire lifecycle—from development and manufacturing through conformity assessment and certification to regulated operation in use.
Key requirements such as risk management (Art. 9), data governance (Art. 10), continuous monitoring (Art. 14), and the robustness and reliability of systems (Art. 15) are consistently taken into account and implemented.
Meet the Team
Embedded Systems Engineering meets Cybernetics. We combine practical experience in industrial systems with conceptual expertise in the control of complex cyber-physical applications.
Together, we are developing an innovative approach to agentic AI governance and security based on Cybernetic Control Evaluation (CCE). Thereby laying the foundations for controllable, scalable and regulatory compliant AI systems.
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