MLCode addresses the gap between an AI pilot and production, positioning itself as an operating model rather than a single tool. Its products, AgentKube and HexaKube, cover creation, deployment, observability and governance, which reflects a Kubernetes-shaped view of how agents should be operated at scale.
Air-gapped on-premise support is the capability that decides whether a platform can serve defence, government and heavily regulated finance at all. Most agent platforms assume outbound internet access, which rules them out of those environments regardless of feature depth.
Observability and governance are the parts worth weighting in evaluation. Building an agent is now comparatively easy; knowing what a fleet of them did, and proving it to an auditor, is what keeps them in production. Enterprise pricing runs through a sales conversation.
