Autonomous Operations

Autonomous Operations is a framework that keeps data centers running with minimal personnel across routine and adverse conditions. It captures expert knowledge and applies it automatically across sites, drastically increasing automation and autonomy. Distributed as open-source, it enables efficient operations of distributed cloud-edge environments and decentralized or air-gapped data centers.

• Minimal-Personnel Operations: A small team can run a full data center across the entire operational spectrum - routine maintenance, configuration management, compliance, and incident response - without requiring specialist availability for covered scenarios.
• Automated Incident Remediation: Known issues are identified and resolved automatically, dramatically reducing Mean Time to Resolution and eliminating the dependency on individual operator expertise during adverse conditions.
• AI Without Operational Risk: AI-driven root cause analysis and automation generation are applied during the safe, supervised development phase - not on the critical path - delivering the analytical benefits of AI while preserving the determinism, bounded latency, and auditability that mission-critical operations require.
• Air-Gapped Readiness: The system operates with complete isolation from external networks, making it viable for regulated, sensitive, or physically isolated environments without architectural compromises.
• Regulatory Compliance Built In: The AI components are fully specified as a high-risk AI system under the EU AI Act, with risk management, transparency, human oversight, and post-market monitoring obligations addressed by design rather than retrofitted.