Brandplane is a multi-tenant serving layer that lets a marketing agency run brand-native AI copywriters for dozens of clients from a single AMD MI300X. Each client's brand is compiled into two pieces stored where each belongs: a ~80MB LoRA adapter holding voice and tone, and a cached context prefix holding the facts that change , catalog, prices, promotions, compliance rules. Because the adapters are small and the prefix is computed once and reused, switching clients is a single field in the request body rather than a separate deployment, and the GPU never re-reads a brand book it has already seen. The result is measurably cheaper per asset than re-prompting a frontier model, and measurably more on-brand than either prompting or a generic model alone.
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