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Research topic
Private AI cloud
A private AI cloud runs models and agents on infrastructure one organization controls: its own servers, its colocation space or GPU capacity dedicated to it. Where it runs decides who holds the hardware, the data, the model weights and the logs, and it sets the cost of every token served.
Work with us on private AI cloud
Rillor deploys and operates dedicated AI environments for enterprises, with your models and data on infrastructure you control: your servers, your colocation space or dedicated GPU capacity that Rillor sources and contracts for you. An environment covers model serving, retrieval over your documents with each citation checked against its source, agents, governed tool access and evaluation before go-live. Our own products run on a platform we built and operate this way, with tenant isolation verified by 109 access, admission and network tests on 7 Oct 2026.
Notices
AI outputs can be wrong. Important decisions should include human review.
Run AI on infrastructure you control.
Send us the workloads you want to run, the data they use, who uses them and where your hardware sits today.