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Global voice agent infrastructure

Use SLNG speech models and the Context Router with your existing orchestrator. Bring your own provider keys where you need them.

$ npx skills add slng-ai/skills

Teach your coding agent to build with SLNG, or read the quickstart to call the API by hand.

The SLNG execution layer sitting between your orchestrator and your models
200–300ms
less latency per turn
2ms
routing overhead
14
sovereign regions
30+
models, one API
How it works

Every turn takes the path it actually needs

A 16-turn call makes 48 model calls. By default each one runs from scratch, even for a greeting you have synthesized a thousand times. The execution layer changes that across three stages, and each call improves routing and cache coverage for the next, so cost and latency keep falling as usage grows.

The execution layer sits between your orchestrator and speech to text, large language, and text to speech models
Context Router

Route only what needs full model reasoning

Point your agent’s large language model (LLM) field at the Context Router. It classifies each turn and chooses full reasoning, local inference, or a cached response. You keep your prompts while reducing LLM cost and turn latency.

Regions

Select your region per request

Route to a sovereign hub with a region-specific API base: eu-west.api.slng.ai, us-east.api.slng.ai, and more. Data stays in-jurisdiction, and every hub runs the full stack.

SLNG sovereign hubs around the world
Integrations

Use your existing stack

Follow a setup guide for the framework, automation tool, or voice platform already in your stack.

Bring your own key

Works with the models you already use

Register your provider keys once, then call 30+ supported speech models through the same HTTP and WebSocket APIs.

DeepgramCartesiaRimeSonioxMurf AIOpenAIAssemblyAISpeechmaticsResemble AIMiniMax

Start building

Install the skills for your coding agent, or make your first request by hand.