R-Sym builds infrastructure that reduces what it takes to run modern AI systems — what gets sent, and what it takes to execute once it arrives.
Prompt caching, shorter prompts, cheaper models, better retrieval. All of it addresses what reaches the model. None of it changes what the model costs to run once it gets there.
We work on both. Reduction and context are deployed and running today. Runtime — running a full-precision model against far less device memory — is in preview as RS-Molt, with receipted results and the method held in-house.
Every figure we quote settles against a provider invoice. We do not publish ratios about our own work on workloads we chose.
Your provider credential never reaches us. Your payload is processed and not retained. There is less here to lose than you would expect.
Nothing is described as shipped before it ships. The status page lists what is running, and the roadmap is labelled as roadmap.
The platform is in preview. Preview accounts run against real traffic and are not billed while rates are being finalised.
Every deployed service, with its current state.