Hyground is a data-sovereign AI operations platform for complex IT environments. It supports SRE, platform, DevOps, and IT operations teams in investigating incidents, identifying root causes, and understanding system behaviour across distributed, cloud-native, hybrid, and on-premise infrastructures. Hyground runs fully inside the customer's infrastructure, with no SaaS dependency and no data egress. What Hyground does Hyground applies AI reasoning to your operational data to: - Correlate alerts, logs, metrics, events, and configuration states. - Identify probable root causes with traceable evidence. - Guide structured incident investigations. - Enable natural-language interaction with operational data. - Document and reuse investigation knowledge across teams. It complements existing monitoring, logging, and ticketing systems. It does not replace operational teams or decision authority. Talk directly to your infrastructure Ask questions in plain language, such as "Are there pods running with privileged containers?" or "Explain why the hyground-dispatcher deployment still references an outdated secret." The agent understands your environment, visualises relationships, and runs deep-dive analyses. On-call teams reach actionable clarity in seconds. Deployment model and security Built for enterprises with strict compliance and sovereignty requirements: - Fully on-premise or private-cloud deployment. - No SaaS control plane and no outbound data transfer. - Analysis executed near the data source. - TLS-secured communication throughout. - OAuth2 or OIDC integration with enterprise identity providers. - Read-only, least-privilege access model by default. - Secrets filtered from logs, configurations, and responses before they reach the model. A connection to an LLM provider (Azure OpenAI, Anthropic, or any LiteLLM-compatible endpoint) is required for reasoning and automation. Hyground runs natively on Kubernetes and is deployed via Helm. Who benefits SRE, platform engineering, DevOps, and IT operations teams in hybrid or on-premise environments. Executive stakeholders: CTOs and CIOs seeking operational resilience and scalability; CISOs requiring controlled, data-sovereign AI; engineering leaders scaling operations without proportional headcount growth. Customer challenges addressed - Long MTTR: manual investigation across disconnected tools; slow correlation of symptoms and root causes. - Alert fatigue: high alert volumes without contextual prioritisation; noise hard to distinguish from real impact. - Knowledge silos: dependence on senior engineers; tribal knowledge not systematically documented. - Escalation overhead: frequent escalation to experienced operators; high on-call load and burnout risk. - Downtime risk: complex failure patterns in distributed systems; delayed resolution of production incidents. - Scaling operations: growing infrastructure complexity; the need to raise reliability without linear team growth. Business impact Hyground strengthens operational clarity and consistency without replacing existing systems. Expected impact areas include reduced mean time to resolution, lower effort per incident, less dependence on individual experts, faster engineer onboarding, greater transparency across distributed systems, and better scalability of IT operations. Enterprises retain control, reliability, and data sovereignty while operating increasingly complex IT infrastructures.