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Building voice AI that feels live: a hands-on guide to Higgs Realtime. The Boson AI Team August 20, 2026 Real-time voice AI is easy to demo. Building it well is much harder. A good voice agent can't simply wait for someone to finish speaking, turn the audio into text, generate an answer, and read it back. Real conversations don't behave like a sequence of clean requests and responses. People pause. They interrupt. They change direction halfway through a sentence. They expect the system to remember what came before, use tools when necessary, and respond without making the conversation feel like a series of transactions. That changes how developers need to think about building voice applications - so today Boson is releasing the Higgs Realtime API Tutorial, a build-it-yourself guide for developers who want to understand how real-time voice AI works and build voice applications with sub-second latency at a fraction of the usual cost. Rather than starting with a finished demo and hiding the complexity underneath it, the tutorial builds a working browser voice assistant one layer at a time. From API calls to a live conversation. Traditional AI applications have a familiar rhythm: request, inference, response. Real-time voice runs on a different model of the world.

Voice, built in: Boson AI's TTS and ASR models are now live on ScitiX Model Inference. Venus Yang Speech is the most natural interface there is - and it's quickly becoming the default way people interact with AI. Today ScitiX is excited to announce that two of Boson AI's flagship speech models are available on the ScitiX Model Inference platform: bosonai/tts for text-to-speech, and bosonai/asr for speech recognition. Together they give you both halves of a voice experience - listening and speaking - behind a single API, on infrastructure that's built to be simple, fast, and secure. Meet the Boson AI models. Boson TTS is built for voice chat. It doesn't just read text aloud - it speaks, producing expressive, conversational speech that sounds like a person rather than a narrator. * Expressive & conversational - natural emotion, style, and prosody, with inline control * 100+ languages out of the box * Zero-shot voice cloning - capture a voice from a short sample, no fine-tuning required * $0.05 / minute If you're building voice assistants, agents, audiobooks, or any product where tone matters, bosonai/tts is designed to make the output feel alive. Boson ASR is a state-of-the-art speech recognition model that turns spoken audio into accurate text - reliably, across languages, and even when conditions aren't ideal. * State-of-the-art accuracy on real-world audio * 90+ languages supported * Robust in noisy environments - call centers, mobile, the real world * Streaming support for low-latency, real-time transcription * $0.006 / minute Pair the two and you have a full speech loop: bosonai/asr to understand what users say, bosonai/tts to respond in a natural voice. A platform designed to get you live in seconds. Great models are only useful if you can actually ship them. That's the whole point of ScitiX Model Inference - and it shows up in three places. Simple - discover, view, integrate. Every model on the platform lives in the Model Plaza, a searchable marketplace you can filter by provider, type, context window, and price. The flow is the same for every model: * Find the model - e.g. the bosonai/tts card in the Plaza. * View Details - read the spec, capabilities, pricing, and a ready-to-run code example. * Copy the endpoint and key into your config, set the model name, and you're done. js// config.js - model integration export default {baseURL: 'https://api.scitix.ai/model-api', apiKey: 'sk-scitix- - - - - - - - - - - - - ', model: 'bosonai/tts', // swap to 'bosonai/asr' for speech recognition} The API is OpenAI-compatible, so it slots into the tools and SDKs you already use. Fast - production-ready in seconds, not weeks. There's no provisioning, no model download, no infrastructure to stand up. From browsing the catalog to your first API call is a matter of seconds - any model in the Plaza is production-ready the moment you copy its endpoint and key. Behind the scenes, ScitiX handles the GPU capacity and scaling so your latency stays low as your traffic grows. And switching between models is trivial: the endpoint and authentication never change - the only thing that varies between bosonai/tts and bosonai/asr is the model name in your request. In its internal benchmarks, Boson TTS stays responsive across hardware tiers - first audio comes back in tens of milliseconds, with steady streaming throughput: Note: these figures are from internal test runs (Boson TTS streaming, single concurrent request, 100-sample suite) and are provided for reference only. They are test data, not a performance commitment or SLA, and may vary by workload, configuration, and region. Secure - your keys, your control. Authentication is a single Authorization: Bearer header carrying your API key. On the platform side, keys are always masked, can be rotated or revoked at any time, and account access can be protected with an extra layer of two-factor security plus security notifications. Your credentials stay yours. On the infrastructure side, your workloads run on ScitiX's own footprint: ScitiX operates Tier III+ (T3+) data centers in North America, and expects to complete its SOC 2 Type II certification by the end of 2026 - so the security story extends from your API key all the way down to the facilities your models run in. The takeaway. Boson AI's TTS and ASR give you a complete voice loop - expressive, natural speech and accurate, multilingual transcription - behind one OpenAI-compatible API. ScitiX Model Inference makes that loop simple to adopt, fast to scale, and secure by default, from your API key all the way down to the data center. Whether you're giving a product a natural-sounding voice or transcribing speech across 90+ languages, both models are live on ScitiX today - ready the moment you are.