LunaRoute

LunaRoute is building a new way for organizations to consume AI inference: fixed-cost, private capacity instead of constantly counting tokens. We provide shared and dedicated inference infrastructure designed for the way modern AI workloads actually operate, especially agents. Our scheduler intelligently manages concurrency and latency, allowing background and agentic workloads to wait when needed so we can extract significantly more useful capacity from every GPU. For customers, that changes the conversation from “Can we afford to run this?” to “We have the capacity, what else should we automate?” LunaRoute combines predictable costs, high-performance open-weight models, intelligent workload scheduling, and strong security controls. Organizations can also deploy dedicated inference servers with isolated capacity and zero data retention, giving them greater control over sensitive workloads while reducing dependence on usage-based API pricing. Our goal is simple: make abundant AI inference infrastructure that companies can treat like compute capacity, not a metered utility.