Skip to main content
This layer is built to give you control of your voice calls. It reduces latency and model cost across the voice pipeline, using your existing tools, while improving reliability.

The problem

A 16-turn voice call makes 48 model calls: STT, LLM, and TTS on every turn. Without an execution layer, each of those 48 runs from scratch. At 1M calls per month, that is 48M inference calls, every one generated fresh regardless of whether the output has been produced before. The same consent disclosure. The same hold message. The same greeting. Generated from scratch, every time.

What the execution layer changes

Every turn is routed through the execution path it actually needs. Three stages, one for each part of the voice pipeline: These stages run across a global network of edge points, with regional execution that keeps data in-jurisdiction.

The system improves under load

Every call through the system improves routing decisions and cache coverage for the next one. Cost and latency decrease with usage. Reliability increases.
  • More calls, more cache coverage, fewer model calls, lower cost
  • More patterns observed, better routing decisions, lower latency
  • More providers configured, more failover options, higher reliability

What customers see

How to integrate

SLNG works with the orchestrator and models you already use. The endpoints sit between your orchestrator and your providers.

How It Works

Architecture and the request lifecycle.

Adaptive Execution

How path selection works.

Integrations

Connect your orchestrator.