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Together AI launches unified platform for real-time voice agents

By PulseAugur Editorial · [9 sources] ·

Together AI has launched a unified platform for building real-time voice agents, integrating speech-to-text (STT), large language models (LLM), and text-to-speech (TTS) within a single cloud environment. This co-location aims to reduce latency to under 500ms and simplify deployment by eliminating inter-vendor network hops. The platform now natively hosts models like Deepgram for STT and Cartesia Sonic-3 for TTS, offering developers more choice and a streamlined experience for production-ready voice applications. AI

IMPACT Accelerates development of real-time conversational AI applications by simplifying infrastructure and reducing latency.

RANK_REASON Product launch of a new integrated platform for AI voice agents.

Read on Together AI blog →

AI-generated summary · Google Gemini · from 9 sources. How we write summaries →

Together AI launches unified platform for real-time voice agents

COVERAGE [9]

  1. Together AI blog TIER_1 English(EN) ·

    Build real-time voice agents on Together AI

    Build real-time voice agents on Together AI with co-located STT, LLM, and TTS infrastructure, native Deepgram and Cartesia support, and end-to-end latency under 500ms.

  2. Together AI blog TIER_1 English(EN) ·

    Announcing the fastest inference for realtime voice AI agents

    Together AI launches the fastest voice AI stack: streaming Whisper STT, serverless open-source TTS (Orpheus & Kokoro), and Voxtral transcription. Sub-second latency for production voice agents.

  3. AssemblyAI blog TIER_1 English(EN) ·

    How the Voice Agent API pipeline works, from audio in to audio out

    A technical tour of every stage in the Voice Agent API pipeline — STT, turn detection, LLM gateway, TTS, and more — for developers who want transparency before trust.

  4. AssemblyAI blog TIER_1 English(EN) ·

    Building a voice agent: the full production timeline for both approaches

    Building a voice agent isn't the hard part. The invisible work between idea and working product is. We mapped the full DIY route and the single-API path so developers can choose with accurate information.

  5. AssemblyAI blog TIER_1 English(EN) ·

    How speech recognition errors compound in production voice agents

    Word error rate doesn't predict voice agent quality. Learn why entity accuracy — on names, account numbers, and medication names — is the metric that matters, and how transcription errors compound across every conversation turn.

  6. AssemblyAI blog TIER_1 English(EN) ·

    The production ceiling: where voice agent stacks start showing their limits

    The three production ceilings voice agent builders hit after shipping, from accents to compliance to noisy environments, and how to break through each one.

  7. AssemblyAI blog TIER_1 English(EN) ·

    The hidden cost of the voice agent stack nobody talks about

    A typical voice agent stack has four vendors, four dashboards, four invoices, and four failure surfaces. Here's what that actually costs in engineering time — and what a collapsed stack changes.

  8. AssemblyAI blog TIER_1 English(EN) ·

    Building a voice agent with a coding agent: why this approach beats a visual builder

  9. AssemblyAI blog TIER_1 English(EN) ·

    Why AssemblyAI voice agents are built differently

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