Inference infrastructure that reduces the compute, memory, and tokens required to run modern AI systems.
Every effort to make inference cheaper attacks what gets sent. That is one side of the bill. The other side never moves.
Tokens, context, retrieval. Well understood, widely worked on, and where the industry has spent its effort.
What it takes to hold a model in memory and run it. The larger share of the cost, and the one nobody has moved.
Reduce provider token usage while preserving recoverability.
Expansion and persistence across sessions and providers.
Model execution against reduced device memory.
Signed receipts for every dispatch and every claim.
Integrations target a stable identifier. Nothing moves underneath you.
| ID | Category | Description | Status |
|---|---|---|---|
| RS-Reduction-1.353D | REDUCTION | Reduces billed input on an existing provider call. | Live |
| RS-Context-1.193P | CONTEXT | Holds more working context in the same window. | Live |
| RS-Proof-1.245V | TRUST | Signed audit trail for every dispatch. | Live |
| RS-Runtime-6.041H | RUNTIME | RS-Molt: full-precision models on one consumer desktop. | Preview |
The reduction approach, applied to execution rather than input. Full-precision models on one consumer desktop, with the same answers as the full model, checked token for token.
Results are receipted; the method stays in-house. RS-Molt is in pre-launch now.
Bring your own provider key. Billing stays with your provider. The difference lands on their invoice.