Kosmoy

Kosmoy is an enterprise AI management platform that runs in the customer’s Kubernetes environment, including Azure, AWS, GCP, on-premises, and air-gapped deployments. It organizes AI operations into four connected layers: inventory, monitoring and observability, gateway governance, and runtime containment. The inventory layer records applications, models, agents, and MCP servers with ownership, risk information, and audit history. The AI Gateway creates a common policy point for LLM, MCP, and A2A traffic. Applications and agents can be authenticated and authorized there, while guardrails inspect for issues such as PII, prompt injection, toxic language, and policy violations. The gateway also supports model routing, fallbacks, budgets, cost attribution, and request logging across providers. Monitoring brings cost, usage, latency, feedback, and guardrail events into views organized by application, team, model, use case, and time. For higher-autonomy workloads, Action Capsules place agents, models, or MCP servers inside Kubernetes-native sandboxes with pre-flight authorization, execution leases, just-in-time credentials, and a kill switch. This makes Kosmoy suited to regulated organizations that need visibility over existing AI and stronger runtime boundaries for agents that can act on systems of record.