Inference infrastructure

The same work,
for less of every
resource it takes.

Inference infrastructure that reduces the compute, memory, and tokens required to run modern AI systems.

The problem

The other half of the cost is the hardware.

Every effort to make inference cheaper attacks what gets sent. That is one side of the bill. The other side never moves.

Addressed

What you send

Tokens, context, retrieval. Well understood, widely worked on, and where the industry has spent its effort.

Where we work

What it takes to run

Memory residency, streaming, execution. The larger share of the cost, and the one nobody has moved.

Platform

Four surfaces.

Services

Deployed and individually addressable.

Integrations target a stable identifier. Nothing moves underneath you.

IDCategoryDescriptionStatus
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 Model execution against reduced device memory. In development
Runtime

Reducing what it takes to run the model.

Same approach as reduction, applied a layer down: memory residency, how weights reach the device, and what has to execute at all.

In development. We are not publishing figures on this work yet.

  • Device memory residencyIN DEVELOPMENT
  • Sequential layer streamingIN DEVELOPMENT
  • IO pathIN DEVELOPMENT
  • Weight representationRESEARCH
  • Selective executionRESEARCH
Get started

Point an existing call at it.

Bring your own provider key. Billing stays with your provider. The difference lands on their invoice.