ISO 27001 · HIPAA · GDPR · SOC 2 II

Global Execution layer for real-time voice

Keep your models. Keep your orchestrator. SLNG sits in the middle and reduces your cost and latency per call.

11

Regional voice hubs

40%

Less turn latency

50%

Less model costs

SLNG // in partnership with leading voice labs

Not every sentence needs a GPU

You're paying for inference you don't need

Right now your stack is hitting the GPU on every turn. STT, LLM, TTS - full inference, every sentence, regardless of context. That's where your cost and latency are.

Global Execution layer

US$ 0.0033 / agent minute

Better execution thay brings better outcomes.

Keep your orchestrator

Livekit, Pipecat, custom. Your application code stays the same.

Keep your LLM

Keep your existing model and provider. SLNG routes, optimizes, and reduces cost on every call.

Keep your STT & TTS models

Bring your existing contract and provider. Or choose from SLNG // 30+ model catalogue.

US$ 0.0033 / agent minute

Plug in three endpoints. Nothing else changes

STT

1curl -X POST https://api.slng.ai/v1/stt \
2  -H "Authorization: Bearer YOUR_KEY" \
3  -H "Content-Type: application/json"curl -X POST https://api.slng.ai/v1/llm \
4  -H "Authorization: Bearer YOUR_KEY" \
5  -H "Content-Type: application/json"

LLM

1curl -X POST https://api.slng.ai/v1/llm \
2  -H "Authorization: Bearer YOUR_KEY" \
3  -H "Content-Type: application/json"

TTS

1curl -X POST https://api.slng.ai/v1/tts \
2  -H "Authorization: Bearer YOUR_KEY" \
3  -H "X-Slng-Provider-Key: YOUR_PROVIDER_KEY" \
4  -H "Content-Type: application/json"

Continuous optimization

Every call improves the next one

Every call teaches the system. Model selection gets sharper, latency drops, and your cost per minute falls automatically, without touching a line of code.

Every call improves the next one

Stack what you need

Optional add-on to the Execution Layer.

STT — US$ 0.0033 / agent minute

Best model per turn · Multi-language · Multi-provider · In-region

TTS — US$ 0.0033 / agent minute

Sub-100ms TTFB · PII-safe delivery · Multi-provider · In-region

Model labs

Gradium · Deepgram · Speechmatics · AssemblyAI · Soniox · Whisper · Gladia · pyannoteAI · Voxtral · Savram AI + more

Model labs

Gradium · Rime · Deepgram · Cartesia · InWorld · Savram AI · Soniox · KugelAudio · MURF.AI + more

In-region compute

Select your region per request

11 sovereign hubs. No redeployment, no config changes.

-H "X-Region: eu-west-1"

One header controls where your audio and model calls are processed.

Compliance

ISO 27001 · HIPAA · GDPR · SOC 2 II in progress

Select your region per request

Getting started

Live instantly. Results within 24hrs

Send your existing call flow. We run it in-region and show you the numbers against your current setup.

1. Add your keys

Bring your own keys for STT, LLM, and TTS. We never store your credentials.

2. Point to SLNG //

Direct your orchestrator to SLNG endpoints for STT, LLM, and TTS.

3. See the results

Give it 24 hours. Your dashboard shows savings, latency, and quality vs. baseline.

What is the SLNG execution layer?

The infrastructure between your orchestrator and your models. It routes each call to the right model, caches repeated patterns, redacts PII, cancels noise, and logs everything: cost, latency, region, provider, per step. You keep your existing code. SLNG handles the layer underneath.

How is SLNG priced?

US$ 0.0033 per agent minute for the execution layer. Same price as every other region. STT and TTS add-ons are each US$ 0.0033 per agent minute with model costs included. No contracts, no minimums, no regional surcharges.

Can I bring my own model API keys?

Yes. BYOK is the default. Bring your existing OpenAI, Anthropic, Deepgram, or ElevenLabs keys. The SLNG execution layer routes through them, adding routing, caching, and observability without changing your provider contracts.

Is SLNG suitable for regulated environments?

Yes. SLNG enforces region and country rules at runtime. Enterprise plans add residency, retention, auditability, and SLA-backed guarantees for regulated workloads.

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