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If you're building voice agents, join us in Barcelona on 15 September. Our very own Ismael Ordaz Reyes and Sergio Espeja from heydiga are covering what to monitor before something breaks and what a minute of voice costs at real volume. Both run voice at volume and will get into what changes between a voice demo and a product people use every day. This is a part of Gradient Descending, the AI roundtable series organized by Earlybird Venture Capital. Link in comments.

Enterprise voice systems in Product SLNG provides orchestration, routing, failover, and operational controls for production-grade TTS/STT deployments. For teams building voice products in regulated industries.

11 hubs. One global standard. Real-time voice requires local presence. When processing is tethered to a distant data center, the natural rhythm of conversation is lost. High-performance voice shouldn't be a privilege of location. The SLNG Voice AI Cloud is a distributed data plane with 11 sovereign hubs already in production. We have built this network to bring the full voice stack to users everywhere, including regions traditionally ignored by centralized providers. Through the Localized Processing Engine, the runtime (STT, LLM, and TTS) is pinned to the local hub. This architecture delivers local latency and verifiable data residency as a technical default. It is a model-agnostic foundation designed for immediate integration into your existing orchestration. The network is ready for your benchmarks. Audit the regional performance today with a 14-day pilot. Deploy where your users speak at slng.ai

The world is speaking. It’s time for AI to listen. Voice AI has lived in a centralised silo for too long. For most of the world, this has meant high latency, ignored accents, and infrastructure that doesn't respect regional sovereignty. If the compute is thousands of miles away from the user, the product is effectively silent. We built SLNG to change that. Meet the first Voice AI Cloud designed for the way the world actually speaks. We aren't just providing another API layer; we are providing the execution environment. Through our network of 11 regional sovereign hubs and our Localised Processing Engine (LPE), we bring the runtime to the user. This architecture ensures local latency and total data residency, allowing you to deploy any model, in any language, anywhere in the world. The era of centralised silence is over. It is time to unmute your product. Start your 14-day pilot at www.slng.ai

53% less LLM cost in production, with no change to your model, your prompts or your orchestrator. Most turns in a call are acknowledgements. You pay frontier prices for all of them. The Context Router resolves those locally and passes the hard turns through, under 2ms of routing overhead.

Voice agents have no shared way to describe themselves. Every agent lives inside the framework that built it. Change frameworks, rebuild the agent. On September 16 we are releasing UNMUTE//, an open standard for declaring voice agents. One package declares behavior, tools, integrations, compliance boundaries. Compile it to Pipecat, LiveKit Agents or SLNG. Launch event with the Agentic AI Foundation. 8:30 AM PT / 17:30 CEST. Registration link in comments.