Models available in every region
regional compute for real-time voice agents
One header
Add X-Region to any API call. No change to your orchestrator, your models, your agent logic.
1curl -X POST https://api.slng.ai/v1/llm \
2 -H "Authorization: Bearer $SLNG_API_KEY" \
3 -H "X-Region: eu-west-1" \
4 -d '{
5 "model": "gpt-4o",
6 "messages": [{"role": "user", "content": "..."}]
7 }'Adaptive execution
Better execution that brings better outcomes
The perfect execution path for every turn.
LLM routing
Per-turn model selection and cost optimization.
PII redaction
Personally identifiable data stripped before it leaves the hub.
TTS smart caching
Repeated TTS responses served from cache. Provider never gets called.
Pricing
Under 1¢ per agent minute
US$ 0.0099 full stack. Or choose your components.
STT
US$ 0.0033 / agent minute · All models included · Or BYOK and pay your provider directly
Execution layer
US$ 0.0033 / agent minute · LLM routing · Smart caching · PII redaction · Analytics
TTS
US$ 0.0033 / agent minute · All models included · Or BYOK and pay your provider directly
Does SLNG keep my voice AI data stay in-region?
Yes. Audio processed in a region stays in that region. Data residency is enforced at the routing layer, not promised in documentation. Every call is logged with region, provider, model, and timestamp. SLNG is ISO 27001 certified, HIPAA compliant, and GDPR compliant.
How do I select a region?
One header: X-Region: ap-south-1. Add it to any API call. Same endpoint, same models, different physical location. No DNS changes, no separate deployments.
What regions does SLNG support for voice AI?
11 sovereign hubs: San Francisco, Ashburn, and Council Bluffs in the US. Dublin, London, Stockholm, and Helsinki in Europe. Mumbai, Singapore, Jakarta, and Sydney in Asia Pacific.
How does regional compute reduce voice AI latency?
A voice call from Mumbai hitting US servers adds 200ms+ of network round-trip before the model starts processing. When STT, LLM, and TTS all run in the same region as your caller, that round-trip disappears. Observed result: ~39% less turn latency in production.
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. The execution layer runs in 11 sovereign hubs across Americas, Europe, and Asia Pacific.
What does "per agent minute" mean?
Agent minute is the length of the call, not the amount of audio processed. A 3-minute call is 3 agent minutes regardless of how much silence or overlap it contains. SLNG bills per agent minute. Model providers typically bill per audio minute. SLNG simplifies this.
How is SLNG different from calling voice AI providers directly?
When you call voice models or LLM directly, you manage routing, failover, cost, and compliance yourself. SLNG sits between your orchestrator and your providers, adding per-turn model selection, smart caching, PII redaction, and regional compute. Your providers stay the same. Your cost and latency go down.
What voice AI models does SLNG support?
30+ models across STT, LLM, and TTS, including Deepgram, Whisper, OpenAI, Anthropic, Rime, Cartesia, and ElevenLabs. Sovereign-hosted models run on SLNG's own in-region compute. BYOK is the default - bring your existing provider keys and contracts.
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.
Does SLNG cost more in certain regions?
No. US$ 0.0033 per agent minute for the execution layer in every region. STT and TTS add-ons are each + US$ 0.0033. No regional surcharges. No volume tiers.
How do I integrate SLNG with my voice AI stack?
Swap your STT, LLM, and TTS endpoints to SLNG. Add one header (X-Region) to select your region. No changes to your orchestrator, your models, or your agent logic. Works with LiveKit, Pipecat, Cognigy, or any custom stack.
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